Professor Malcolm Beynon

Associate Dean for Technology and Data, Professor of Uncertain Reasoning

: BeynonMJ@cardiff.ac.uk
: +44 29208 75747
: Aberconway Building, Room T27, Colum Road, Cathays, Cardiff, CF10 3EU

: Available for postgraduate supervision

Malcolm Beynon is Professor of Uncertain Reasoning and Business Analytics at Cardiff

Professor Beynon holds a BSc (first class) and PhD in pure mathematics from Cardiff University. His research involves the development of novel analytic techniques, as well as the progression and application of existing techniques. He is an internationally recognized expert in the uncertain reasoning methodology, which he applies across all areas of management (as well as other disciplines). Incorporating fuzzy set theory and Dempster-Shafer theory, the methodology acknowledges uncertainty in analysis (including in data the notions of incompleteness, ignorance and ambiguity etc.).

Recent research includes: · Indexing third stream activities in UK universities: exploring the entrepreneurial/enterprising university · Examining the existence of double jeopardy and negative double jeopardy within Twitter · A NCaRBS analysis of SME intended innovation: learning about the Don't Knows · Country-based comparative analysis using fsQCA investigating entrepreneurial attitudes and activity · Measuring and understanding the differences between urban and rural areas · Evaluating the performance of airports using an integrated AHP/DEA-AR technique.

His work has been published across a wide range of journals, including: Studies in Higher Education · Journal of Business Research · OMEGA (The International Journal of Management Science) · European Journal of Marketing · Journal of Public Administration Research and Theory · European Journal of Operations Research · Computational and Mathematical Organization Theory · Review of Quantitative Finance and Accounting · Fuzzy Sets and Systems · Computer Methods in Biomechanics and Biomedical Engineering · Environment and Planning A, B and C · Transport Policy · IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and humans · Journal of Biomechanics · Bulletin of Mathematical Biology

2018

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)

2017

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)
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.

2016

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)
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.

2015

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)

2014

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)

2013

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)
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)
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)
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.

2012

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.
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.
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.
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)

2011

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., 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)
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.

2010

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)
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., 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., 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.

2009

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)
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)
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)

2008

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)
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)
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., 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. 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)
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)

2007

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

2006

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., 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. 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 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. 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., 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.

2005

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.
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.

2004

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. 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., 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)

2003

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. 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. 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)

2002

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. 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)

2001

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. 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.

2000

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)

1999

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)

1993

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)

Primary research interests

Business Analytics using non-traditional forms of analysis.
Analysis of data with quality issues, such as when having incomplete data and/or outliers.
Development and application of my own introduced techniques, DS/AHP and CaRBS (based on Dempster-Shafer theory).
Development and application of the fsQCA technique within business problems.
Development and application of other fuzzy techniques (fuzzy decision trees, fuzzy input-output, fuzzy ranking etc).
Developmental business inclusion/application of non-traditional techniques like, Neural Networks, Genetic Algorithms, Simulated Annealing, Tabu Search, PROMETHEE, Analytic Hierarchy Process, etc.
PhD. investigated certain integro-differential inequalities (using Hilbert space theory).

PhD supervision research interests

Dempster-Shafer theory
Fuzzy set theory
Rough set theory

Research projects

Examples of Current Projects

Innovation and Entrepreneurship (CaRBS and fsQCA)
New Public Management and Healthcare
Analysis of Heritage sites
Social Media analytics
Student Satisfaction/Experience
Text analytics
Analysing incomplete data without managing the missing values

Teaching commitments

Applied Statistics and Mathematics in Economics and Business (undergraduate, year 1)
Modelling in Management Science (undergraduate, year 3)

Qualifications

BSc (Pure Mathematics), University of Wales, Cardiff
PhD (Pure and Computational Mathematics), University of Wales, Cardiff

A taste of academic life

23 October 2018

Best paper for African entrepreneurship study

04 October 2018

External profiles

Research gate