Yr Athro Malcolm Beynon

Adrannau llyfrau

• Baeshen, M., Beynon, M. J. and Daunt, K. 2016. Fuzzy clustering: an analysis of service quality in the mobile phone industrys. In: Kumar, A. et al. eds. Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics. IGI Global, pp. 40-61.
• TC, L., H, T., Beynon, M. and Beresford, A. 2016. An application on transhipment hub port selection: a global perspective. In: H, H. ed. Port Management. Palgrave McMillan, pp. 314-338.
• Beynon, M. J. and Daunt, K. 2013. Cluster analysis: An example analysis on personality and dysfunctional customer behaviour. In: Moutinho, L. and Huarng, K. eds. Quantitative Modelling in Marketing and Management. London: World Scientific, pp. 359-378., (10.1142/9789814407724_0014)
• Beynon, M. J., McDermott, A. M. and Keating, M. A. 2012. Qualitative comparison analysis: an example analysis of clinical directorates and resource management. In: Moutinho, L. and Huarng, K. H. eds. Quantitative Modelling in Marketing and Management. London: World Scientific
• McDermott, A. M., Keating, M. A. and Beynon, M. J. 2012. Affording discretion in how policy objectives are achieved: lessons from clinician involvement in managerial decision making. In: Dickinson, H. and Mannion, R. eds. The Reform of Health Care : Shaping, Adapting and Resisting Policy Developments. Organizational Behaviour in Health Care Basingstoke: Palgrave Macmillan, pp. 51-62.
• Beynon, M. J., Holt, C. A. and Whatling, G. M. 2011. An exposition of uncertain reasoning based analysis: an investigation of total hip arthroplasty. In: Igelnik, B. ed. Computational modeling and simulation of intellect: current state and future perspectives. Hershey, PA.: IGI Global, pp. 183-205., (10.4018/978-1-60960-551-3.ch008)
• Beynon, M. J., Moutinho, L. and Veloutsou, C. 2010. A Dempster-Shafer Theory based exposition of probabilistic reasoning in consumer choice. In: Casillas, J. and Martínez-López, F. J. eds. Marketing intelligent systems using soft computing. Studies in fuzziness and soft computing Vol. 258. Berlin: Springer, pp. 365-388., (10.1007/978-3-642-15606-9_21)
• Beynon, M. J. and Andrews, R. W. 2010. An exposition of CaRBS based data mining: investigating intra organization strategic consensus. In: Syvajarvi, A. and Stenvall, J. eds. Data Mining in Public and Private Sectors: Organizational and Government Applications. Hershey, PA.: IGI Global, pp. 267-288.
• Beynon, M. J. and Griffiths, B. 2010. An exposition of feature selection and variable precision rough set analysis: application to financial data. In: Anbumani, K. and Nedunchezhian, R. eds. Soft Computing Applications for Database Technologies: Techniques and Issues. Hershey, PA.: IGI Global, pp. 193-213.
• Beynon, M. J. and Page, K. L. 2010. Analysing incomplete consumer web data using the classification and ranking belief simplex (probabilistic reasoning and evolutionary computation). In: Casillas, J. and Martínez-López, F. J. eds. Marketing information systems using soft computing. Studies in Fuzziness and Soft Computing Vol. 258. Berlin: Springer, pp. 447-473., (10.1007/978-3-642-15606-9_24)
• Beynon, M. J. and Kitchener, M. J. 2010. Data mining using fuzzy decision trees: an exposition from a study of public services strategy in the USA. In: Syvajarvi, A. and Stenvall, J. eds. Data Mining in Public and Private Sectors: Organizational and Government Applications. Hershey, PA.: IGI Global
• Beynon, M. J. and Jones, P. 2010. Fuzzy decision rule construction using fuzzy decision trees: application to E-Learning database. In: Anbumani, K. and Nedunchezhian, R. eds. Soft computing applications for database technologies: techniques and issues. Hershey, PA.: IGI Global, pp. 104-124., (10.4018/978-1-60566-814-7)
• Beynon, M. J. and Wells, P. E. 2010. Motor vehicle improvement preference ranking: A PROMETHEE and trigonometric differential evolution analysis of their chemical emissions. In: Pose, M. G. and Cebrián, D. R. eds. Soft Computing Methods for Practical Environment Solutions: Techniques and Studies. Hershey, PA: IGI Global, pp. 106-126.
• Beynon, M. J. 2009. A fuzzy decision tree analysis of traffic fatalities in the US. In: Wang, H. ed. Intelligent data analysis: developing new methodologies through pattern discovery and recovery. Hershey, PA.: IGI Global, pp. 201-217., (10.4018/978-1-59904-982-3.ch012)
• Beynon, M. J. 2009. Fuzzy decision trees. In: Dopico, J. R. R., Dorado, J. and Pazos, A. eds. Encyclopedia of artificial intelligence. Hershey, PA.: IGI Global, pp. 696-703., (10.4018/978-1-59904-849-9)
• Beynon, M. J. 2008. The Issue of Missing Values in Data Mining. In: Wang, J. ed. Encyclopaedia of Data Warehousing and Mining (2nd ed.). Hershey, PA: IGI Global, pp. 1102-1109., (10.4018/978-1-60566-010-3.ch171)
• Beynon, M. J. 2008. Using Dempster-Shafer theory in data mining. In: Wang, J. ed. Encyclopedia of data warehousing and mining (2nd ed.). Hershey, PA: IGI Global, pp. 1166-1170., (10.4018/978-1-60566-010-3.ch307)
• Beynon, M. J. 2008. Utilizing fuzzy decision trees in decision making. In: Wang, J. ed. Encyclopaedia of data warehousing and mining. Hershey, PA: IGI Global, pp. 1175-1180., (10.4018/978-1-60566-010-3.ch309)
• Beynon, M. J. 2008. Intelligent classification and ranking analyses using CARBS: credit rating application. In: Wang, H. ed. Intelligent data analysis: developing new methodologies through pattern discovery and recovery. Hershey, PA.: IGI Global, pp. 236-253., (10.4018/978-1-59904-982-3)
• Beynon, M. J. 2008. The Dempster-Shafer Theory. In: Rabuñal Dopico, J. R., Dorado, J. and Pazos, A. eds. Encyclopaedia of Artificial Intelligence. Hershey, PA: IGI Global, pp. 443-448., (10.4018/978-1-59904-849-9.ch068)
• Beynon, M. J. and Park, K. 2008. The Exposition of Fuzzy Decision Trees and their Application in Biology. In: Porto Pazos, A. B., Pazos Sierra, A. and Buño Buceta, W. eds. Advancing Artificial Intelligence Through Biological Process Applications. Hershey, PA: IGI Global, pp. 375-394., (10.4018/978-1-59904-996-0.ch020)
• Griffiths, B. and Beynon, M. J. 2008. Re-sampling based Data Mining using Rough Set Theory. In: Wang, J. ed. Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications. Hershey, PA: IGI Global, pp. 3005-3026., (10.4018/978-1-59904-951-9.ch192)
• Beynon, M. J. 2008. PROMETHEE. In: Adam, F. and Humphreys, P. eds. Encyclopaedia of Decision Making and Decision Support Technologies. Hershey, PA: IGI Global, pp. 743-750., (10.4018/978-1-59904-843-7.ch083)
• Beynon, M. J. 2008. Qualitative Comparison Analysis. In: Adam, F. and Humphreys, P. eds. Encyclopaedia of Decision Making and Decision Support Technologies. Hershey, PA: IGI Global, pp. 751-756., (10.4018/978-1-59904-843-7.ch084)
• Beynon, M. J. 2008. Rough Set Theory. In: Adam, F. and Humphreys, P. eds. Encyclopaedia of Decision Making and Decision Support Technologies. Hershey, PA: IGI Global, pp. 783-789., (10.4018/978-1-59904-843-7.ch088)
• Beynon, M. J. 2008. The application of fuzzy decision trees in audit fee evaluation: a sensitivity analysis. In: Prasad, B. ed. Soft computing applications in business. Studies in Fuzziness and Soft Computing Vol. 230. Berlin: Springer-Verlag, pp. 73-91.
• Beynon, M. J. 2008. Rank Improvement Optimisation using PROMETHEE and Trigonometric Differential Evolution. In: Vlahavas, I. and Vrakas, D. eds. Artificial Intelligence for Advanced Problem Solving. Hershey, PA: IGI Global, pp. 266-281., (10.4018/978-1-59904-705-8.ch011)
• Beynon, M. J. 2008. An exposition of NCaRBS: analysis of US banks and Moody's bank financial strength rating. In: Prasad, B. ed. Soft Computing Applications in Business. Studies in Fuzziness and Soft Computing Vol. 230. Berlin: Springer, pp. 93-112.
• Beynon, M. J. 2008. DS/AHP. In: Adam, F. and Humphreys, P. eds. Encyclopaedia of decision making and decision support technologies. Hershey, PA: IGI Global, pp. 278-285., (10.4018/978-1-59904-843-7.ch032)
• Beynon, M. J. 2008. Effective Intelligent Data Mining Using Dempster-Shafer Theory. In: Wang, J. ed. Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications. Hershey, PA: IGI Global, pp. 2943-2963., (10.4018/978-1-59904-951-9.ch188)
• Beynon, M. J. 2008. Fuzzy decision tree based analysis of databases. In: Galindo, J. ed. Handbook of research on fuzzy information processing in databases. Hershey, PA: IGI Global, pp. 760-783., (10.4018/978-1-59904-853-6.ch031)
• Beynon, M. J. 2008. Fuzzy decision trees. In: Adam, F. and Humphreys, P. eds. Encyclopaedia of decision making and decision support technologies. Hershey, PA: IGI Global, pp. 382-390., (10.4018/978-1-59904-843-7.ch044)
• Beynon, M. J. 2008. Fuzzy outranking methods including Fuzzy PROMETHEE. In: Galindo, J. ed. Handbook of research on fuzzy information processing in databases. Hershey, PA: IGI Global, pp. 784-804., (10.4018/978-1-59904-853-6.ch032)
• Beynon, M. J. 2008. Object Classification using CaRBS. In: Khosrow-Pour, M. ed. Encyclopedia of Information Science and Technology (2nd ed.). Hershey, PA: IGI Global, pp. 2850-2854., (10.4018/978-1-60566-026-4.ch455)
• Beynon, M. J. 2008. Optimising Object Classification: Uncertain Reasoning based Analysis using CaRBS Systematic Search Algorithms. In: Vlahavas, I. and Vrakas, D. eds. Artificial Intelligence for Advanced Problem Solving. Hershey, PA: IGI Global, pp. 234-253., (10.4018/978-1-59904-705-8.ch009)
• Beynon, M. J. 2008. Classification and Ranking Belief Simplex. In: Adam, F. and Humphreys, P. eds. Encyclopedia of Decision Making and Decision Support Technologies. Hershey, PA: IGI Global, pp. 76-83., (10.4018/978-1-59904-843-7.ch009)
• Beynon, M. J. 2007. Effective intelligent data mining using Dempster-Shafer theory. In: Zhu, X. and Davidson, I. eds. Knowledge discovery and data mining: challenges and realities with real world data. Hershey, PA.: IGI Global, pp. 203-223.
• Beynon, M. J. 2006. The issue of missing values, their presence and management: a relevant demonstration of data analysis in marketing using CaRBS. In: Moutinho, L., Hutcheson, G. and Rita, P. eds. Advances in Doctoral Research in Management., Vol. 1. Singapore: World Scientific Publishing, pp. 245-268., (10.1142/9789812707246_0012)
• Beynon, M. J. and Kitchener, M. J. 2005. Analyzing strategic stance in public services management: An exposition of NCaRBS in a study of U.S. States' long-term care systems. In: Voges, K. and Pope, N. eds. Business Applications and Computational Intelligence. Hershey, PA.: IGI Global, pp. 344-359.

Cynadleddau

• Potter, A., Chanin, S., Beynon, M. and Wang, Y. 2017. An exploration of how Logistics Service Providers engage with online social networks. Presented at: 22nd International Symposium of Logistics (ISL), Ljubljana, Slovenia, 9-12 July.
• Beynon, M. J. and Andrews, R. W. 2014. Outliers in evidential C-means: an empirical exploration using survey data on organizational social capital. Presented at: BELIEF 2014: 3rd International Conference on Belief Functions, Oxford, UK, 26-28 September 2014 Presented at Cuzzolin, F. ed.Belief Functions: Theory and Applications: Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceeding, Vol. 8764. Lecture Notes in Computer Science Springer pp. 247-255., (10.1007/978-3-319-11191-9_27)
• Beynon, M. J. and Andrews, R. W. 2014. Evidence-based modelling of organizational social capital with incomplete data: an NCaRBS analysis. Presented at: BELIEF 2014: 3rd International Conference on Belief Functions, Oxford, UK, 26-28 September 2014 Presented at Cuzzolin, F. ed.Belief Functions: Theory and Applications: Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceeding, Vol. 8764. Lecture Notes in Computer Science Springer pp. 237-246., (10.1007/978-3-319-11191-9_26)
• Beynon, M. J. 2014. Reflections on DS/AHP: lessons to be learnt. Presented at: BELIEF 2014: 3rd International Conference on Belief Functions, Oxford, UK, 26-28 September 2014 Presented at Cuzzolin, F. ed.Belief Functions: Theory and Applications: Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceeding, Vol. 8764. Lecture Notes in Computer Science Springer pp. 95-104., (10.1007/978-3-319-11191-9_11)
• Sheeran, L., Whatling, G. M., Holt, C. A., Beynon, M. J., Van Deursen, R. W. M. and Sparkes, V. 2013. Discriminating non-specific chronic low back pain clinical subgroups and monitoring recovery using objective classification method. Presented at: 8th Interdisciplinary World Congress on Low Back & Pelvic Pain, Dubai, 27-31 October 2013.
• Lai, P., Potter, A. T. and Beynon, M. J. 2012. Evaluating the performance of airports using an integrated AHP/DEA technique. Presented at: 15th Air Transport Research Society Conference, Tainan, 27-30 June 2012.
• Whatling, G. M., Holt, C. A. and Beynon, M. J. 2011. Hip gait improvement analysis - patient specific targeted improvement. Presented at: Engineers and Surgeons: Joined at the Hip III, The Royal College of Surgeons of England, London, 1-3 November 2011.
• Lai, P., Potter, A. T. and Beynon, M. J. 2010. The development of benchmarking techniques in airport performance evaluation research. Presented at: 14th Air Transport Research Society Conference, Porto, Portugal, 6-9 July 2010.
• Beynon, M. J., Andrews, R. W. and Boyne, G. A. 2008. An introduction to evidence-based modelling of contingency theory. Presented at: Academy of Management Annual Meeting, Anaheim, California, 8-13 August 2008.
• Beynon, M. J., Andrews, R. W. and Boyne, G. A. 2008. An introduction to evidence-based modelling of contingency theory. Presented at: British Academy of Management Conference (BAM) 2008, Harrogate, UK, 9-11 September 2008.
• Kitchener, M. J. and Beynon, M. J. 2008. Analysing public service strategy: a fuzzy decision tree approach. Presented at: British Academy of Management Conference (BAM) 2008, Harrogate, UK, 9-11 September 2008.
• Barton, H. and Beynon, M. J. 2008. Targeted criteria performance improvement by police forces when comparing with the forces in their MSF group. Presented at: Academy of Management Annual Meeting, Anaheim, California, 8-13 August 2008.
• Kitchener, M. J. and Beynon, M. J. 2008. What is public services strategy and does it matter?. Presented at: Organisational Strategy, Structure and Process: A Reflection on the Research Perspective of Miles and Snow, Cardiff, UK, 4-5 December 2008.
• Beynon, M. J., Munday, M. C. R. and Roberts, A. 2006. Using DS/AHP to rank of sectors on their potential to strengthen regional economic development. Presented at: MCDM 2006, Chania, Greece, 19-23 June 2006.
• Jones, L., Beynon, M. J. and Holt, C. A. 2006. Knee function classification: An overview of the Dempster-Shafer based classifier. Presented at: Ninth International Symposium on the 3-D Analysis of Human Movement, Valenciennes, France, 28-30 June 2006.
• Beynon, M. J., Munday, M. C. R. and Roberts, A. 2006. Welsh economic development: the differences and similarities of DS/AHP and SMART analyses. Presented at: OR 48: annual conference of the Operational Research Society, Bath, UK, 11–13 September 2006.
• Beynon, M. J. 2004. The DS/AHP Method of MCDM under Ignorance: Vagueness, Consideration Sets and Consensus Building in a Group Decision Problem. Presented at: The 17th International Conference on Multiple Criteria Decision Making, Whistler, BC, Canada, 6-11 August 2004.
• Beynon, M. J. 2004. The MAUT based CARBS System using Belief Functions: Ranking US National League Baseball Teams. Presented at: The 17th International Conference on Multiple Criteria Decision Making, Whistler, BC, Canada, 6-11 August 2004.
• Beynon, M. J. 2003. Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model Proceedings. Presented at: 9th International Conference Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Chongqing, China, 26-29 May 2003 Presented at Wang, G. et al. eds.Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003 Proceedings. Lecture Notes in Computer Science Vol. 2639. Berlin: Springer pp. 287-290., (10.1007/3-540-39205-X_40)
• Beynon, M. J. 2002. The Identification of Low-Paying Workplaces: An Analysis using the Variable Precision Rough Sets Model. Presented at: Third International Conference on Rough Sets and Current Trends in Computing (RSCTC2002), Malvern, PA, USA, 14-16 October 2002 Presented at Alpigini, J. J. et al. eds.Rough Sets and Current Trends in Computing: Third International Conference on Rough Sets and Current Trends in Computing, RSCTC2002, Malvern, PA, USA, October 14-16, 2002. Proceedings. Lecture Notes in Computer Science Vol. 2475. Berlin: Springer pp. 530-537., (10.1007/3-540-45813-1_70)
• Beynon, M. J. 2002. Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model. Presented at: Third International Conference on Rough Sets and Current Trends in Computing (RSCTC2002), Malvern, PA, USA, 14-16 October 2002 Presented at Alpigini, J. J. et al. eds.Rough Sets and Current Trends in Computing: Third International Conference on Rough Sets and Current Trends in Computing, RSCTC2002, Malvern, PA, USA, October 14-16, 2002. Proceedings. Lecture Notes in Computer Science Vol. 2475. Berlin: Springer pp. 61-68., (10.1007/3-540-45813-1_8)
• Beynon, M. J. and Whitfield, K. L. 2001. Fuzzy decision trees: an application to the low pay commission. Presented at: 7th International Conference of the Society for Computational Economics, New Haven, CT, USA, June 2001.

Erthyglau

• Baylis, R. and Beynon, M. 2024. Investigating the ‘when viewed’ engagement with lecture capture material of accounting students. Accounting Education 33(2), pp. 193-217. (10.1080/09639284.2022.2149270)
• Beynon, M., Pickernell, D., Battisti, M. and Jones, P. 2024. A panel fsQCA investigation on European regional innovation. Technological Forecasting and Social Change 199, article number: 123042. (10.1016/j.techfore.2023.123042)
• Andrews, R., Beynon, M. J. and Baafi, F. 2023. Access to basic infrastructure services in Ghanaian local government: A contextual approach. Local Government Studies (10.1080/03003930.2023.2289609)
• Andrews, R. and Beynon, M. 2023. The revolving door in UK government departments: a configurational analysis. Regulation and Governance (10.1111/rego.12544)
• Beynon, M., Jones, P. and Pickernell, D. 2023. Evaluating EU-region level innovation readiness: a longitudinal analysis using principal component analysis and a constellation graph index approach. Journal of Business Research 159, article number: 113703. (10.1016/j.jbusres.2023.113703)
• Beynon, M., Munday, M. and Roche, N. 2021. ICT resources and use: examining differences in pathways to improved small firm performance. International Journal of Entrepreneurial Behaviour and Research 27(7), pp. 1798-1818. (10.1108/IJEBR-12-2020-0847)
• Beynon, M., Battisti, M., Jones, P. and Pickernell, D. 2021. How institutions matter in the context of business exit: a country comparison using GEM data and fsQCA. British Journal of Management 32(3), pp. 832-851. (10.1111/1467-8551.12438)
• Beynon, M., Jones, P. and Pickernell, D. 2021. Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA. Entrepreneurship and Regional Development 32(3-4), pp. 227-248. (10.1080/08985626.2021.1872936)
• Beynon, M. J., Jones, P. and Pickernell, D. 2020. Country-level entrepreneurial attitudes and activity through the years: A panel data analysis using fsQCA. Journal of Business Research 115, pp. 443-455. (10.1016/j.jbusres.2019.11.021)
• Galazka, A. M., Beynon, M. and Edwards, T. 2020. Index of information and communication technology use in labour administration: its need, its pertinence and its potential use. International Review of Administrative Sciences 86(2), pp. 240-260. (10.1177/0020852318769142)
• Beynon, M. J., Jones, P., Pickernell, D. and Huang, S. 2020. Growth and innovation of SMEs in local enterprise partnerships regions: A configurational analysis using fsQCA. International Journal of Entrepreneurship and Innovation 21(2), pp. 83-100. (10.1177/1465750319846827)
• Beynon, M., Jones, P. and Pickernell, D. 2020. SME development strategy and product/service innovation intention: a NCaRBS analysis of the role of uncertainty. International Journal of Entrepreneurship and Innovation 21(1), pp. 3-16. (10.1177/1465750318807401)
• Beynon, M. J., Jones, P. and Pickernell, D. 2020. Investigating total entrpreneurial activity and entrepreneurial intention in Africa regions using fuzzy-set qualitative comparative analysis (fsQCA). Small Enterprise Research 27(2), pp. 146-164. (10.1080/13215906.2020.1752294)
• Andrews, R. and Beynon, M. J. 2019. Configurational analysis of access to basic infrastructure services: evidence from Turkish provinces. European Journal of Development Research 31(5), pp. 1341-1370. (10.1057/s41287-019-00213-7)
• Mathias, M., Fargher, S. and Beynon, M. 2019. Exploring the link between integrated leadership-in-government, and follower happiness: the case of Dubai. International Review of Administrative Sciences 85(4), pp. 780-798. (10.1177/0020852317748731)
• Beynon, M. J., Jones, P. and Pickernell, D. 2019. The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US State-level evidence and an fsQCA elucidation. Journal of Business Research 101, pp. 675-687. (10.1016/j.jbusres.2019.01.074)
• Battisti, M., Beynon, M., Pickernell, D. and Deakins, D. 2019. Surviving or thriving: The role of learning for the resilient performance of small firms. Journal of Business Research 100, pp. 38-50. (10.1016/j.jbusres.2019.03.006)
• Fuller, D., Beynon, M. and Pickernell, D. 2019. Indexing third stream activities in UK universities: exploring the entrepreneurial/enterprising university. Studies in Higher Education 44(1), pp. 86-110. (10.1080/03075079.2017.1339029)
• Andrews, R., Beynon, M. J. and McDermott, A. 2019. Configurations of new public management reforms and the efficiency, effectiveness and equity of public healthcare systems: a fuzzy-set qualitative comparative analysis. Public Management Review 21(8), pp. 1236-1260. (10.1080/14719037.2018.1561927)
• Pickernell, D., Jones, P. and Beynon, M. J. 2019. Innovation performance and the role of clustering at the local enterprise level: a fuzzy-set qualitative comparative analysis approach. Entrepreneurship and Regional Development 31(1-2), pp. 82-103. (10.1080/08985626.2018.1537149)
• Beynon, M., Jones, C., Munday, M. C. R. and Roche, N. 2018. Investigating value added from heritage assets: An analysis of landmark historical sites in Wales. International Journal of Tourism Research 20(6), pp. 756-767. (10.1002/jtr.2228)
• Beynon, M. J., Jones, P. and Pickernell, D. 2018. Entrepreneurial climate and self-perceptions about entrepreneurship: a country comparison using fsQCA with dual outcomes. Journal of Business Research 89, pp. 418-428. (10.1016/j.jbusres.2017.12.014)
• Haddoud, M. Y., Beynon, M. J., Jones, P. and Newbery, R. 2018. SMEs' export propensity in North Africa: a fuzzy c-means cluster analysis. Journal of Small Business and Enterprise Development 25(5), pp. 769-790. (10.1108/JSBED-02-2017-0077)
• Rogers, A., Daunt, K. L., Morgan, P. and Beynon, M. 2017. Examining the existence of double jeopardy and negative double jeopardy within Twitter. European Journal of Marketing 51(7/8), pp. 1224-1247. (10.1108/EJM-03-2015-0126)
• Andrews, R., Beynon, M. and Gence, E. 2017. Strategy implementation and public service effectiveness, efficiency and equity. Administrative Sciences 7(1), article number: 4. (10.3390/admsci7010004)
• Beynon, M. J., Jones, P. and Pickernell, D. 2016. Country-level investigation of innovation investment in manufacturing: paired fsQCA of two models. Journal of Business Research 69(11), pp. 5401-5407. (10.1016/j.jbusres.2016.04.145)
• Beynon, M. J., Crawley, A. and Munday, M. C. R. 2016. Measuring and understanding the differences between urban and rural areas. Environment and Planning B: Planning and Design 43(6), pp. 1136-1154. (10.1177/0265813515605096)
• Andrews, R., Beynon, M. J. and McDermott, A. M. 2016. Organizational capability in the public sector: a configurational approach. Journal of Public Administration Research and Theory 26(2), pp. 239-258. (10.1093/jopart/muv005)
• Beynon, M. J., Jones, P. and Pickernell, D. 2016. Country-based comparison analysis using fsQCA investigating entrepreneurial attitudes and activity. Journal of Business Research 69(4), pp. 1271-1276. (10.1016/j.jbusres.2015.10.091)
• Beynon, M. J., Jones, P., Pickernell, D. and Packham, G. 2016. A NCaRBS analysis of SME intended innovation: learning about the Don't Knows. Omega 59(A), pp. 97-112. (10.1016/j.omega.2015.04.018)
• Andrews, R. W. and Beynon, M. J. 2016. Managerial networking and stakeholder support in public service organizations. Public Organization Review, pp. 1-18. (10.1007/s11115-015-0340-0)
• Lai, P., Potter, A. T., Beynon, M. J. and Beresford, A. K. C. 2015. Evaluating the performance of airports using an integrated AHP/DEA-AR technique. Transport Policy 42, pp. 75-85. (10.1016/j.tranpol.2015.04.008)
• Beynon, M. L., Andrews, R. and Boyne, G. A. 2015. Evidence-based modelling of hybrid organizational strategies. Computational and Mathematical Organization Theory 21(1), pp. 1-23. (10.1007/s10588-014-9174-5)
• Beynon, M. J., Jones, P., Pickernell, D. and Packham, G. 2015. Investigating the impact of training influence on employee retention in small and medium enterprises: a regression-type classification and ranking believe simplex analysis on sparse data. Expert Systems 32(1), pp. 141-154. (10.1111/exsy.12067)
• Whatling, G. M., Holt, C. A. and Beynon, M. J. 2015. The application of NCaRBS to the Trendelenburg test and total hip arthroplasty outcome. Annals of Biomedical Engineering 43(2), pp. 363-375. (10.1007/s10439-014-1231-1)
• Beynon, M. J., Jones, P., Packham, G. and Pickernell, D. 2014. Investigating the motivation for enterprise education: a CaRBS based exposition. International Journal of Entrepreneurial Behaviour & Research 20(6), pp. 584-612. (10.1108/IJEBR-05-2013-0073)
• Crawley, A., Beynon, M. J. and Munday, M. C. R. 2013. Making Location Quotients more relevant as a policy aid in regional spatial analysis. Urban Studies 50(9), pp. 1854-1869. (10.1177/0042098012466601)
• Beynon, M. J. and Clatworthy, M. A. 2013. A fuzzy-based approach to residual income equity valuation. Review of Quantitative Finance and Accounting 40(4), pp. 675-690. (10.1007/s11156-012-0293-0)
• McDermott, A. M., Heffernan, M. and Beynon, M. J. 2013. When the nature of employment matters in the employment relationship: a cluster analysis of the psychological contract and organizational commitment in the non-profit sector. International Journal of Human Resource Management 24(7), pp. 1490-1518. (10.1080/09585192.2012.723635)
• Whatling, G. M., Beynon, M. J. and Holt, C. A. 2013. A CaRBS analysis of hip replacement approaches and non-pathology. Computer Methods in Biomechanics and Biomedical Engineering 16(2), pp. 175-184. (10.1080/10255842.2011.613380)
• Jones, P., Beynon, M. J., Pickernell, D. and Packham, G. 2013. Evaluating the impact of different training methods on SME business performance. Environment and Planning C: Government and Policy 31(1), pp. 56-81. (10.1068/c12113b)
• Lai, P., Potter, A. T. and Beynon, M. J. 2012. The development of benchmarking techniques in airport performance. Transportation Journal 51(3), pp. 305-337.
• Barton, H. and Beynon, M. J. 2012. Policing for the people: A cluster based investigation of the relationship between police force operational performance and public opinion. International Journal of Emergency Services 1(1), pp. 29-38. (10.1108/20470891211239308)
• Beynon, M. J., Heffernan, M. and McDermott, A. M. 2012. Psychological contracts and job satisfaction: clustering analysis using evidential c-means and comparison with other techniques. Intelligent Systems in Accounting, Finance and Management 19(4), pp. 247-273. (10.1002/isaf.1334)
• Munday, M. C. R. and Beynon, M. J. 2011. Input-Output Analysis: Foundations and Extensions, by Ronald E. Miller and Peter D. Blair [Book Review]. Journal of Regional Science 51(1), pp. 196-197. (10.1111/j.1467-9787.2010.00711_2.x)
• Wells, P. E. and Beynon, M. J. 2011. Corruption, automobility cultures, and road traffic deaths: the perfect storm in rapidly motorizing countries?. Environment and Planning A 43(10), pp. 2492-2503. (10.1068/a4498)
• Beynon, M. J. and Andrews, R. W. 2011. Introduction of evidential contribution measures for the input variables used in a CaRBS based analysis: an application in strategic consensus. Expert Systems with Applications 38(1), pp. 47-57. (10.1016/j.eswa.2010.06.005)
• Barton, H. and Beynon, M. J. 2011. Targeted criteria performance improvement: an investigation of a "most similar" UK police force. International Journal of Public Sector Management 24(4), pp. 356-367. (10.1108/09513551111133498)
• Beynon, M. J., Andrews, R. W. and Boyne, G. A. 2010. Evidence-based modelling of strategic fit: an introduction to RCaRBS. European Journal of Operational Research 207(2), pp. 886-896. (10.1016/j.ejor.2010.05.024)
• Andrews, R. W. and Beynon, M. J. 2010. Organizational form and strategic alignment in a local authority: a preliminary exploration using fuzzy clustering. Public Organization Review 11(3), pp. 201-218. (10.1007/s11115-010-0117-4)
• Beynon, M. J., Moutinho, L. and Veloutsou, C. 2010. Gender differences in supermarket choice: an expositional analysis in the presence of ignorance using CaRBS. European Journal of Marketing 44(1/2), pp. 267-290. (10.1108/03090561011008709)
• Beynon, M. J., Jones, C. and Munday, M. C. R. 2009. The embeddedness of tourism-related activity: a regional analysis of sectoral linkages. Urban Studies 46(10), pp. 2123-1241. (10.1177/0042098009339428)
• Tang, Y. and Beynon, M. J. 2009. Group decision-making within capital investment: a Fuzzy Analytic Hierarchy Process approach with developments. International Journal of Operational Research 4(1), pp. 75-96. (10.1504/IJOR.2009.021619)
• Beynon, M. J. and Munday, M. C. R. 2008. Considering the effects of imprecision and uncertainty in ecological footprint estimation: an approach in a fuzzy environment. Ecological Economics 67(3), pp. 373-383. (10.1016/j.ecolecon.2008.07.005)
• Jones, L., Holt, C. A. and Beynon, M. J. 2008. Reduction, classification and ranking of motion analysis data: an application to osteoarthritic and normal knee function data. Computer Methods in Biomechanics and Biomedical Engineering 11(1), pp. 31-40. (10.1080/10255840701550956)
• Beynon, M. J. and Barton, H. 2008. A PROMETHEE based uncertainty analysis of UK police force performance rank improvement. International Journal of Society Systems Science 1(2), pp. 176-193. (10.1504/IJSSS.2008.021918)
• Beynon, M. J. and Munday, M. C. R. 2008. Stochastic key sector analysis: an application to a regional input-output framework. Annals of Regional Science 42(4), pp. 863-877. (10.1007/s00168-007-0172-0)
• Beynon, M. J. 2008. Constellation graphs and the role of rank position criteria value frontiers in PROMETHEE analysis. International Journal of Operational Research 3(1/2), pp. 201-218. (10.1504/IJOR.2008.016161)
• Jones, P. and Beynon, M. J. 2007. Temporal support in the identification of e-learning efficacy: an example of object classification in the presence of ignorance. Expert Systems 24(1), pp. 1-16. (10.1111/j.1468-0394.2007.00417.x)
• Beynon, M. J. and Munday, M. C. R. 2007. An Aggregated Regional Economic Input-Output Analysis within a Fuzzy Environment. Spatial Economic Analysis 2(3), pp. 281-296. (10.1080/17421770701549787)
• Jones, L., Beynon, M. J., Holt, C. A. and Roy, S. 2006. An application of the Dempster-Shafer theory of evidence to the classification of knee function and detection of improvement due to total knee replacement surgery. Journal of biomechanics 39(13), pp. 2512-2520. (10.1016/j.jbiomech.2005.07.024)
• Beynon, M. J. and Munday, M. C. R. 2006. The elucidation of multipliers and their moments in fuzzy closed Leontief input-output systems. Fuzzy Sets and Systems 157(18), pp. 2482-2494. (10.1016/j.fss.2006.02.005)
• Wells, P. E. and Beynon, M. J. 2006. The lean improvement of the chemical emissions of motor vehicles based on preference ranking: A PROMETHEE uncertainty analysis. Omega 36(3), pp. 384-394. (10.1016/j.omega.2006.04.015)
• Beynon, M. J. 2006. An introduction of the condition class space with continuous value discretization and rough set theory. International Journal of Intelligent Systems 21(2), pp. 173-191. (10.1002/int.20126)
• Beynon, M. J., Jones, L. and Holt, C. A. 2006. Classification of osteoarthritic and normal knee function using three-dimensional motion analysis and the Dempster-Shafer theory of evidence. IEEE transactions on systems, man and cybernetics Part A: Systems and humans 36(1), pp. 173-186. (10.1109/TSMCA.2006.859098)
• Beynon, M. J. 2006. The Role of the DS/AHP in Identifying Inter-Group Alliances and Majority Rule Within Group Decision Making. Group Decision and Negotiation 15(1), pp. 21-42. (10.1007/s10726-005-1159-9)
• Beynon, M. J. and Whitfield, K. L. 2006. A Fuzzy Decision Support System to Identify Establishments with Low Paid Employees in the British Economy. Fuzzy Economic Review 11(2), pp. 69-88.
• Beynon, M. J. 2005. A novel technique of object ranking and classification under ignorance: An application to the corporate failure risk problem. European Journal of Operational Research 167(2), pp. 493-517. (10.1016/j.ejor.2004.03.016)
• Griffiths, B. and Beynon, M. J. 2005. Expositing stages of VPRS analysis in an expert system: Application with bank credit ratings. Expert Systems with Applications 29(4), pp. 879-888. (10.1016/j.eswa.2005.06.008)
• Beynon, M. J. 2005. A method of aggregation in DS/AHP for group decision-making with the non-equivalent importance of individuals in the group. Computers & Operations Research 32(7), pp. 1881-1896. (10.1016/j.cor.2003.12.004)
• Beynon, M. J. and Driffield, N. 2005. An illustration of variable precision rough sets model: an analysis of the findings of the UK Monopolies and Mergers Commission. Computers & Operations Research 32(7), pp. 1739-1759. (10.1016/j.cor.2003.11.031)
• Beynon, M. J. 2005. Understanding local ignorance and non-specificity within the DS/AHP method of multi-criteria decision making. European Journal of Operational Research 163(2), pp. 403-417. (10.1016/j.ejor.2003.11.010)
• Beynon, M. J. 2005. Optimizing object classification under ambiguity/ignorance: application to the credit rating problem. Intelligent Systems in Accounting, Finance and Management 13(2), pp. 113-130. (10.1002/isaf.260)
• Beynon, M. J., Goode, M. M. H., Moutinho, L. A. and Snee, H. R. 2005. Modelling Satisfaction with Automated Banking Channels. Services Marketing Quarterly 26(4), pp. 77-94. (10.1300/J396v26n04_05)
• Beynon, M. J., Munday, M. C. R. and Roberts, A. 2005. Ranking sectors using fuzzy output multipliers. Economic Systems Research 17(3), pp. 237-253. (10.1080/09535310500221716)
• Beynon, M. J. and Kitchener, M. J. 2005. Ranking the 'Balance' of State Long-Term Care Systems: A Comparative Exposition of the SMARTER and CaRBS Techniques. Health Care Management Science 8(2), pp. 157-166. (10.1007/s10729-005-0398-2)
• Tang, Y. and Beynon, M. J. 2005. Application and Development of a Fuzzy Analytic Hierarchy Process within a Capital Investment Study. Journal of Economics and Management 1(2), pp. 207-230.
• Beynon, M. J. and Buchanan, K. L. 2004. Object classification under ignorance using CaRBS: the case of the European barn swallow. Expert Systems with Applications 27(3), pp. 403-415. (10.1016/j.eswa.2004.05.006)
• Beynon, M. J., Clatworthy, M. A. and Jones, M. J. 2004. The prediction of profitability using accounting narratives: A variable-precision rough set approach. Intelligent Systems in Accounting, Finance and Management 12(4), pp. 227-242. (10.1002/isaf.256)
• Beynon, M. J., Peel, M. J. and Tang, Y. 2004. The application of fuzzy decision tree analysis in an exposition of the antecedents of audit fees. Omega 32(3), pp. 231-244. (10.1016/j.omega.2003.11.003)
• Lirn, T. C., Thanopoulou, H. A., Beynon, M. J. and Beresford, A. K. C. 2004. An Application of AHP on Transhipment Port Selection: A Global Perspective. Maritime Economics & Logistics 6(1), pp. 70-91. (10.1057/palgrave.mel.9100093)
• Beynon, M. J., Buchanan, K. L. and Tang, Y. 2004. The application of a fuzzy-rule-based system in an exposition of the antecedents of sedge warbler song flight. Expert Systems 21(1), pp. 1-10. (10.1111/j.1468-0394.2004.00258.x)
• Beynon, M. J. 2004. Stability of continuous value discretisation: an application within rough set theory. International Journal of Approximate Reasoning 35(1), pp. 29-53. (10.1016/S0888-613X(03)00057-4)
• Beynon, M. J. 2004. Condition Class Classification Stability in RST due to Continuous Value Discretisation. Lecture Notes in Computer Science 3066, pp. 378-383. (10.1007/978-3-540-25929-9_45)
• Beynon, M. J. 2004. The Elucidation of an Iterative Procedure to ß-Reduct Selection in the Variable Precision Rough Sets Model. Lecture Notes in Computer Science 3066, pp. 412-417. (10.1007/978-3-540-25929-9_49)
• Beynon, M. J. and Griffiths, B. 2004. An Expert System for the Utilisation of the Variable Precision Rough Sets Model. Lecture Notes in Computer Science 3066, pp. 714-720. (10.1007/978-3-540-25929-9_90)
• Kitchener, M. J., Beynon, M. J. and Harrington, C. 2004. Explaining the Diffusion of Medicaid Home Care Waiver Programs Using VPRS Decision Rules. Health Care Management Science 7(3), pp. 237-244. (10.1023/B:HCMS.0000039386.59886.dd)
• Beynon, M. J. 2003. The introduction and utilization of (l, u)-graphs in the extended variable precision rough sets model. International Journal of Intelligent Systems 18(10), pp. 1035-1055. (10.1002/int.10130)
• Beynon, M. J. and Buchanan, K. L. 2003. An illustration of variable precision rough set theory: The gender classification of the European barn swallow (Hirundo rustica). Bulletin of Mathematical Biology 65(5), pp. 835-858. (10.1016/S0092-8240(03)00044-2)
• Beynon, M. J. 2003. Introduction and Elucidation of the Quality of Sagacity in the Extended Variable Precision Rough Sets Model. Electronic Notes in Theoretical Computer Science 82(4), pp. 30-39. (10.1016/S1571-0661(04)80703-5)
• Beynon, M. J. 2003. An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRSβ. Lecture Notes in Computer Science 2639, pp. 354-357. (10.1007/3-540-39205-X_56)
• Kitchener, M. J., Beynon, M. J. and Harrington, C. 2002. Qualitative comparative analysis and public services research: lessons from an early application. Public management review 4(4), pp. 485-504. (10.1080/14616670210163033)
• Beynon, M. J., Griffiths, B. and Marshall, D. 2002. A prototype store choice and location modelling system using Dempster-Shafer theory. Expert Systems 19(5), pp. 273-284. (10.1111/1468-0394.00214)
• Beynon, M. J. 2002. An investigation of the role of scale values in the DS/AHP method of multi-criteria decision making. Journal of Multi-Criteria Decision Analysis 11(6), pp. 327-343. (10.1002/mcda.339)
• Beynon, M. J. 2002. DS/AHP method: A mathematical analysis, including an understanding of uncertainty. European Journal of Operational Research 140(1), pp. 148-164. (10.1016/S0377-2217(01)00230-2)
• Beynon, M. J. 2002. An analysis of distributions of priority values from alternative comparison scales within AHP. European Journal of Operational Research 140(1), pp. 104-117. (10.1016/S0377-2217(01)00221-1)
• Beynon, M. J. and Peel, M. J. 2001. Variable precision rough set theory and data discretisation: an application to corporate failure prediction. Omega 29(6), pp. 561-576. (10.1016/S0305-0483(01)00045-7)
• Beynon, M. J. 2001. Reducts within the variable precision rough sets model: A further investigation. European Journal of Operational Research 134(3), pp. 592-605. (10.1016/S0377-2217(00)00280-0)
• Beynon, M. J., Curry, B. and Morgan, P. H. 2001. Knowledge discovery in marketing: an approach through rough-set theory. European journal of marketing 35(7/8), pp. 915-935. (10.1108/EUM0000000005734)
• Beynon, M. J., Cosker, D. P. and Marshall, A. D. 2001. An expert system for multi-criteria decision making using Dempster Shafer theory. Expert Systems with Applications 20(4), pp. 357-367. (10.1016/S0957-4174(01)00020-3)
• Beynon, M. J. 2001. An Investigation of β-Reduct Selection within the Variable Precision Rough Sets Model. Lecture Notes in Computer Science 2005, pp. 114-122. (10.1007/3-540-45554-X_13)
• Beynon, M. J., Curry, B. and Morgan, P. H. 2000. Classification and rule induction using rough set theory. Expert Systems 17(3), pp. 136-148. (10.1111/1468-0394.00136)
• Beynon, M. J., Curry, B. and Morgan, P. H. 2000. The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling. Omega 28(1), pp. 37-50. (10.1016/S0305-0483(99)00033-X)
• Morgan, P. H., Curry, B. and Beynon, M. J. 2000. Pruning neural networks by minimization of the estimated variance. European Journal of Economic and Social Systems 14(1), pp. 1-16. (10.1051/ejess:2000104)
• Morgan, P. H., Curry, B. and Beynon, M. J. 1999. Comparing neural network approximations for different functional forms. Expert Systems 16(2), pp. 60-71. (10.1111/1468-0394.00096)
• Beynon, M. J., Curry, B. and Morgan, P. H. 1999. Neural networks and finite-order approximations. IMA Journal of Management Mathematics 10(3), pp. 225-244. (10.1093/imaman/10.3.225)
• Beynon, M. J., Brown, B. M. and Evans, W. D. 1993. On an Inequality of the Kolmogorov Type for a Second-Order Differential Expression. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 442(1916), pp. 555-569. (10.1098/rspa.1993.0121)

Monograffau

• Beynon, M. J., Waddell, J. and Emery, A. 2007. A blue skies investigation: Future ICT infrastructure in Wales. Project Report. Cardiff: Cardiff University.

• Beynon, M. J., Crawley, A. and Munday, M. C. R. 2016. Measuring and understanding the differences between urban and rural areas. Environment and Planning B: Planning and Design 43(6), pp. 1136-1154. (10.1177/0265813515605096)
• Andrews, R., Beynon, M. J. and McDermott, A. M. 2016. Organizational capability in the public sector: a configurational approach. Journal of Public Administration Research and Theory 26(2), pp. 239-258. (10.1093/jopart/muv005)
• Beynon, M. J., Jones, P., Pickernell, D. and Packham, G. 2016. A NCaRBS analysis of SME intended innovation: learning about the Don't Knows. Omega 59(A), pp. 97-112. (10.1016/j.omega.2015.04.018)
• Lai, P., Potter, A. T., Beynon, M. J. and Beresford, A. K. C. 2015. Evaluating the performance of airports using an integrated AHP/DEA-AR technique. Transport Policy 42, pp. 75-85. (10.1016/j.tranpol.2015.04.008)
• Beynon, M. J., Jones, P., Pickernell, D. and Packham, G. 2015. Investigating the impact of training influence on employee retention in small and medium enterprises: a regression-type classification and ranking believe simplex analysis on sparse data. Expert Systems 32(1), pp. 141-154. (10.1111/exsy.12067)
• Whatling, G. M., Holt, C. A. and Beynon, M. J. 2015. The application of NCaRBS to the Trendelenburg test and total hip arthroplasty outcome. Annals of Biomedical Engineering 43(2), pp. 363-375. (10.1007/s10439-014-1231-1)
• Beynon, M. J. and Andrews, R. W. 2014. Outliers in evidential C-means: an empirical exploration using survey data on organizational social capital. Presented at: BELIEF 2014: 3rd International Conference on Belief Functions, Oxford, UK, 26-28 September 2014 Presented at Cuzzolin, F. ed.Belief Functions: Theory and Applications: Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceeding, Vol. 8764. Lecture Notes in Computer Science Springer pp. 247-255., (10.1007/978-3-319-11191-9_27)
• Beynon, M. J. and Andrews, R. W. 2014. Evidence-based modelling of organizational social capital with incomplete data: an NCaRBS analysis. Presented at: BELIEF 2014: 3rd International Conference on Belief Functions, Oxford, UK, 26-28 September 2014 Presented at Cuzzolin, F. ed.Belief Functions: Theory and Applications: Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceeding, Vol. 8764. Lecture Notes in Computer Science Springer pp. 237-246., (10.1007/978-3-319-11191-9_26)
• Beynon, M. J. 2014. Reflections on DS/AHP: lessons to be learnt. Presented at: BELIEF 2014: 3rd International Conference on Belief Functions, Oxford, UK, 26-28 September 2014 Presented at Cuzzolin, F. ed.Belief Functions: Theory and Applications: Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceeding, Vol. 8764. Lecture Notes in Computer Science Springer pp. 95-104., (10.1007/978-3-319-11191-9_11)
• Beynon, M. J., Jones, P., Packham, G. and Pickernell, D. 2014. Investigating the motivation for enterprise education: a CaRBS based exposition. International Journal of Entrepreneurial Behaviour & Research 20(6), pp. 584-612. (10.1108/IJEBR-05-2013-0073)
• Crawley, A., Beynon, M. J. and Munday, M. C. R. 2013. Making Location Quotients more relevant as a policy aid in regional spatial analysis. Urban Studies 50(9), pp. 1854-1869. (10.1177/0042098012466601)
• Beynon, M. J. and Clatworthy, M. A. 2013. A fuzzy-based approach to residual income equity valuation. Review of Quantitative Finance and Accounting 40(4), pp. 675-690. (10.1007/s11156-012-0293-0)
• McDermott, A. M., Heffernan, M. and Beynon, M. J. 2013. When the nature of employment matters in the employment relationship: a cluster analysis of the psychological contract and organizational commitment in the non-profit sector. International Journal of Human Resource Management 24(7), pp. 1490-1518. (10.1080/09585192.2012.723635)
• Whatling, G. M., Beynon, M. J. and Holt, C. A. 2013. A CaRBS analysis of hip replacement approaches and non-pathology. Computer Methods in Biomechanics and Biomedical Engineering 16(2), pp. 175-184. (10.1080/10255842.2011.613380)
• Jones, P., Beynon, M. J., Pickernell, D. and Packham, G. 2013. Evaluating the impact of different training methods on SME business performance. Environment and Planning C: Government and Policy 31(1), pp. 56-81. (10.1068/c12113b)
• Lai, P., Potter, A. T. and Beynon, M. J. 2012. The development of benchmarking techniques in airport performance. Transportation Journal 51(3), pp. 305-337.
• Barton, H. and Beynon, M. J. 2012. Policing for the people: A cluster based investigation of the relationship between police force operational performance and public opinion. International Journal of Emergency Services 1(1), pp. 29-38. (10.1108/20470891211239308)
• Beynon, M. J., Heffernan, M. and McDermott, A. M. 2012. Psychological contracts and job satisfaction: clustering analysis using evidential c-means and comparison with other techniques. Intelligent Systems in Accounting, Finance and Management 19(4), pp. 247-273. (10.1002/isaf.1334)
• Wells, P. E. and Beynon, M. J. 2011. Corruption, automobility cultures, and road traffic deaths: the perfect storm in rapidly motorizing countries?. Environment and Planning A 43(10), pp. 2492-2503. (10.1068/a4498)
• Beynon, M. J. and Andrews, R. W. 2011. Introduction of evidential contribution measures for the input variables used in a CaRBS based analysis: an application in strategic consensus. Expert Systems with Applications 38(1), pp. 47-57. (10.1016/j.eswa.2010.06.005)
• Barton, H. and Beynon, M. J. 2011. Targeted criteria performance improvement: an investigation of a "most similar" UK police force. International Journal of Public Sector Management 24(4), pp. 356-367. (10.1108/09513551111133498)
• Beynon, M. J., Andrews, R. W. and Boyne, G. A. 2010. Evidence-based modelling of strategic fit: an introduction to RCaRBS. European Journal of Operational Research 207(2), pp. 886-896. (10.1016/j.ejor.2010.05.024)
• Andrews, R. W. and Beynon, M. J. 2010. Organizational form and strategic alignment in a local authority: a preliminary exploration using fuzzy clustering. Public Organization Review 11(3), pp. 201-218. (10.1007/s11115-010-0117-4)
• Beynon, M. J., Moutinho, L. and Veloutsou, C. 2010. Gender differences in supermarket choice: an expositional analysis in the presence of ignorance using CaRBS. European Journal of Marketing 44(1/2), pp. 267-290. (10.1108/03090561011008709)
• Beynon, M. J., Jones, C. and Munday, M. C. R. 2009. The embeddedness of tourism-related activity: a regional analysis of sectoral linkages. Urban Studies 46(10), pp. 2123-1241. (10.1177/0042098009339428)
• Tang, Y. and Beynon, M. J. 2009. Group decision-making within capital investment: a Fuzzy Analytic Hierarchy Process approach with developments. International Journal of Operational Research 4(1), pp. 75-96. (10.1504/IJOR.2009.021619)
• Beynon, M. J. and Munday, M. C. R. 2008. Considering the effects of imprecision and uncertainty in ecological footprint estimation: an approach in a fuzzy environment. Ecological Economics 67(3), pp. 373-383. (10.1016/j.ecolecon.2008.07.005)
• Jones, L., Holt, C. A. and Beynon, M. J. 2008. Reduction, classification and ranking of motion analysis data: an application to osteoarthritic and normal knee function data. Computer Methods in Biomechanics and Biomedical Engineering 11(1), pp. 31-40. (10.1080/10255840701550956)
• Beynon, M. J. and Barton, H. 2008. A PROMETHEE based uncertainty analysis of UK police force performance rank improvement. International Journal of Society Systems Science 1(2), pp. 176-193. (10.1504/IJSSS.2008.021918)
• Beynon, M. J. and Munday, M. C. R. 2008. Stochastic key sector analysis: an application to a regional input-output framework. Annals of Regional Science 42(4), pp. 863-877. (10.1007/s00168-007-0172-0)
• Beynon, M. J. 2008. Constellation graphs and the role of rank position criteria value frontiers in PROMETHEE analysis. International Journal of Operational Research 3(1/2), pp. 201-218. (10.1504/IJOR.2008.016161)
• Jones, P. and Beynon, M. J. 2007. Temporal support in the identification of e-learning efficacy: an example of object classification in the presence of ignorance. Expert Systems 24(1), pp. 1-16. (10.1111/j.1468-0394.2007.00417.x)
• Beynon, M. J. and Munday, M. C. R. 2007. An Aggregated Regional Economic Input-Output Analysis within a Fuzzy Environment. Spatial Economic Analysis 2(3), pp. 281-296. (10.1080/17421770701549787)
• Jones, L., Beynon, M. J., Holt, C. A. and Roy, S. 2006. An application of the Dempster-Shafer theory of evidence to the classification of knee function and detection of improvement due to total knee replacement surgery. Journal of biomechanics 39(13), pp. 2512-2520. (10.1016/j.jbiomech.2005.07.024)
• Beynon, M. J. and Munday, M. C. R. 2006. The elucidation of multipliers and their moments in fuzzy closed Leontief input-output systems. Fuzzy Sets and Systems 157(18), pp. 2482-2494. (10.1016/j.fss.2006.02.005)
• Wells, P. E. and Beynon, M. J. 2006. The lean improvement of the chemical emissions of motor vehicles based on preference ranking: A PROMETHEE uncertainty analysis. Omega 36(3), pp. 384-394. (10.1016/j.omega.2006.04.015)
• Beynon, M. J. 2006. An introduction of the condition class space with continuous value discretization and rough set theory. International Journal of Intelligent Systems 21(2), pp. 173-191. (10.1002/int.20126)
• Beynon, M. J., Jones, L. and Holt, C. A. 2006. Classification of osteoarthritic and normal knee function using three-dimensional motion analysis and the Dempster-Shafer theory of evidence. IEEE transactions on systems, man and cybernetics Part A: Systems and humans 36(1), pp. 173-186. (10.1109/TSMCA.2006.859098)
• Beynon, M. J. 2006. The Role of the DS/AHP in Identifying Inter-Group Alliances and Majority Rule Within Group Decision Making. Group Decision and Negotiation 15(1), pp. 21-42. (10.1007/s10726-005-1159-9)
• Beynon, M. J. and Whitfield, K. L. 2006. A Fuzzy Decision Support System to Identify Establishments with Low Paid Employees in the British Economy. Fuzzy Economic Review 11(2), pp. 69-88.
• Beynon, M. J. 2005. A novel technique of object ranking and classification under ignorance: An application to the corporate failure risk problem. European Journal of Operational Research 167(2), pp. 493-517. (10.1016/j.ejor.2004.03.016)
• Griffiths, B. and Beynon, M. J. 2005. Expositing stages of VPRS analysis in an expert system: Application with bank credit ratings. Expert Systems with Applications 29(4), pp. 879-888. (10.1016/j.eswa.2005.06.008)
• Beynon, M. J. 2005. A method of aggregation in DS/AHP for group decision-making with the non-equivalent importance of individuals in the group. Computers & Operations Research 32(7), pp. 1881-1896. (10.1016/j.cor.2003.12.004)
• Beynon, M. J. and Driffield, N. 2005. An illustration of variable precision rough sets model: an analysis of the findings of the UK Monopolies and Mergers Commission. Computers & Operations Research 32(7), pp. 1739-1759. (10.1016/j.cor.2003.11.031)
• Beynon, M. J. 2005. Understanding local ignorance and non-specificity within the DS/AHP method of multi-criteria decision making. European Journal of Operational Research 163(2), pp. 403-417. (10.1016/j.ejor.2003.11.010)
• Beynon, M. J. 2005. Optimizing object classification under ambiguity/ignorance: application to the credit rating problem. Intelligent Systems in Accounting, Finance and Management 13(2), pp. 113-130. (10.1002/isaf.260)
• Beynon, M. J., Goode, M. M. H., Moutinho, L. A. and Snee, H. R. 2005. Modelling Satisfaction with Automated Banking Channels. Services Marketing Quarterly 26(4), pp. 77-94. (10.1300/J396v26n04_05)
• Beynon, M. J., Munday, M. C. R. and Roberts, A. 2005. Ranking sectors using fuzzy output multipliers. Economic Systems Research 17(3), pp. 237-253. (10.1080/09535310500221716)
• Beynon, M. J. and Kitchener, M. J. 2005. Ranking the 'Balance' of State Long-Term Care Systems: A Comparative Exposition of the SMARTER and CaRBS Techniques. Health Care Management Science 8(2), pp. 157-166. (10.1007/s10729-005-0398-2)
• Tang, Y. and Beynon, M. J. 2005. Application and Development of a Fuzzy Analytic Hierarchy Process within a Capital Investment Study. Journal of Economics and Management 1(2), pp. 207-230.
• Beynon, M. J. and Buchanan, K. L. 2004. Object classification under ignorance using CaRBS: the case of the European barn swallow. Expert Systems with Applications 27(3), pp. 403-415. (10.1016/j.eswa.2004.05.006)
• Beynon, M. J., Clatworthy, M. A. and Jones, M. J. 2004. The prediction of profitability using accounting narratives: A variable-precision rough set approach. Intelligent Systems in Accounting, Finance and Management 12(4), pp. 227-242. (10.1002/isaf.256)
• Beynon, M. J., Peel, M. J. and Tang, Y. 2004. The application of fuzzy decision tree analysis in an exposition of the antecedents of audit fees. Omega 32(3), pp. 231-244. (10.1016/j.omega.2003.11.003)
• Lirn, T. C., Thanopoulou, H. A., Beynon, M. J. and Beresford, A. K. C. 2004. An Application of AHP on Transhipment Port Selection: A Global Perspective. Maritime Economics & Logistics 6(1), pp. 70-91. (10.1057/palgrave.mel.9100093)
• Beynon, M. J., Buchanan, K. L. and Tang, Y. 2004. The application of a fuzzy-rule-based system in an exposition of the antecedents of sedge warbler song flight. Expert Systems 21(1), pp. 1-10. (10.1111/j.1468-0394.2004.00258.x)
• Beynon, M. J. 2004. Stability of continuous value discretisation: an application within rough set theory. International Journal of Approximate Reasoning 35(1), pp. 29-53. (10.1016/S0888-613X(03)00057-4)