Malcolm J. Beynon

According to our database, Malcolm J. Beynon authored at least 50 papers between 1997 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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.

Malcolm John Beynon, Paul Jones, David Pickernell, Gary P. Packham

Expert Syst. J. Knowl. Eng., 2015

Evidence-based modelling of hybrid organizational strategies.

Malcolm J. Beynon, Rhys Andrews, George A. Boyne

Comput. Math. Organ. Theory, 2015

2014

Outliers in Evidential C-Means: An Empirical Exploration Using Survey Data on Organizational Social Capital.

Malcolm J. Beynon, Rhys Andrews

Proceedings of the Belief Functions: Theory and Applications, 2014

Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS Analysis.

Malcolm J. Beynon, Rhys Andrews

Proceedings of the Belief Functions: Theory and Applications, 2014

Reflections on DS/AHP: Lessons to Be Learnt.

Malcolm J. Beynon

Proceedings of the Belief Functions: Theory and Applications, 2014

2012

Psychological Contracts and Job Satisfaction: Clustering Analysis using Evidential C-Means and Comparison with Other Techniques.

Malcolm J. Beynon, Margaret Heffernan, Aoife M. McDermott

Intell. Syst. Account. Finance Manag., 2012

2011

Introduction of evidential contribution measures for the input variables used in a CaRBS based analysis: An application in strategic consensus.

Malcolm J. Beynon, Rhys Andrews

Expert Syst. Appl., 2011

2010

Analysing Incomplete Consumer Web Data Using the Classification and Ranking Belief Simplex (Probabilistic Reasoning and Evolutionary Computation).

Malcolm J. Beynon, Kelly Page

Proceedings of the Marketing Intelligent Systems Using Soft Computing, 2010

A Dempster-Shafer Theory Based Exposition of Probabilistic Reasoning in Consumer Choice.

Malcolm J. Beynon, Luiz Moutinho, Cleopatra Veloutsou

Proceedings of the Marketing Intelligent Systems Using Soft Computing, 2010

Evidence-based modelling of strategic fit: An introduction to RCaRBS.

Malcolm J. Beynon, Rhys Andrews, George A. Boyne

Eur. J. Oper. Res., 2010

2009

Using Dempster-Shafer Theory in Data Mining.

Malcolm Beynon

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

The Issue of Missing Values in Data Mining.

Malcolm Beynon

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Fuzzy Decision Trees.

Malcolm Beynon

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

The Dempster-Shafer Theory.

Malcolm Beynon

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

2008

An Exposition of NCaRBS: Analysis of US Banks and Moody's Bank Financial Strength Rating.

Malcolm J. Beynon

Proceedings of the Soft Computing Applications in Business, 2008

The Application of Fuzzy Decision Trees in Company Audit Fee Evaluation: A Sensitivity Analysis.

Malcolm J. Beynon

Proceedings of the Soft Computing Applications in Business, 2008

Fuzzy Outranking Methods Including Fuzzy PROMETHEE.

Malcolm Beynon

Proceedings of the Handbook of Research on Fuzzy Information Processing in Databases, 2008

Fuzzy Decision-Tree-Based Analysis of Databases.

Malcolm Beynon

Proceedings of the Handbook of Research on Fuzzy Information Processing in Databases, 2008

2007

Temporal support in the identification of e-learning efficacy: an example of object classification in the presence of ignorance.

Paul Jones, Malcolm J. Beynon

Expert Syst. J. Knowl. Eng., 2007

2006

Classification of Osteoarthritic and Normal Knee Function Using Three-Dimensional Motion Analysis and the Dempster-Shafer Theory of Evidence.

Malcolm J. Beynon, Lianne Jones, Catherine A. Holt

IEEE Trans. Syst. Man Cybern. Part A, 2006

An introduction of the condition class space with continuous value discretization and rough set theory.

Malcolm J. Beynon

Int. J. Intell. Syst., 2006

The elucidation of multipliers and their moments in fuzzy closed Leontief input-output systems.

Malcolm J. Beynon, Max Munday

Fuzzy Sets Syst., 2006

2005

Optimizing object classification under ambiguity/ignorance: application to the credit rating problem.

Malcolm J. Beynon

Intell. Syst. Account. Finance Manag., 2005

Expositing stages of VPRS analysis in an expert system: Application with bank credit ratings.

Benjamin Griffiths, Malcolm J. Beynon

Expert Syst. Appl., 2005

A novel technique of object ranking and classification under ignorance: An application to the corporate failure risk problem.

Malcolm J. Beynon

Eur. J. Oper. Res., 2005

Understanding local ignorance and non-specificity within the DS/AHP method of multi-criteria decision making.

Malcolm J. Beynon

Eur. J. Oper. Res., 2005

An illustration of variable precision rough sets model: an analysis of the findings of the UK Monopolies and Mergers Commission.

Malcolm J. Beynon, Nigel Driffield

Comput. Oper. Res., 2005

A method of aggregation in DS/AHP for group decision-making with the non-equivalent importance of individuals in the group.

Malcolm J. Beynon

Comput. Oper. Res., 2005

2004

The prediction of profitability using accounting narratives: a variable-precision rough set approach.

Malcolm J. Beynon, Mark A. Clatworthy, Michael John Jones

Intell. Syst. Account. Finance Manag., 2004

Stability of continuous value discretisation: an application within rough set theory.

Malcolm J. Beynon

Int. J. Approx. Reason., 2004

Object classification under ignorance using CaRBS: the case of the European barn swallow.

Malcolm J. Beynon, Kate L. Buchanan

Expert Syst. Appl., 2004

The application of a fuzzy-rule-based system in an exposition of the antecedents of sedge warbler song flight.

Malcolm J. Beynon, Katherine L. Buchanan, Yu-Cheng Tang

Expert Syst. J. Knowl. Eng., 2004

An Expert System for the Utilisation of the Variable Precision Rough Sets Model.

Malcolm J. Beynon, Benjamin Griffiths

Proceedings of the Rough Sets and Current Trends in Computing, 2004

The Elucidation of an Iterative Procedure to beta-Reduct Selection in the Variable Precision Rough Sets Model.

Malcolm J. Beynon

Proceedings of the Rough Sets and Current Trends in Computing, 2004

Condition Class Classification Stability in RST due to Continuous Value Discretisation.

Malcolm J. Beynon

Proceedings of the Rough Sets and Current Trends in Computing, 2004

2003

The introduction and utilization of (l, u)-graphs in the extended variable precision rough sets model.

Malcolm J. Beynon

Int. J. Intell. Syst., 2003

Introduction and Elucidation of the Quality of Sagacity in the Extended Variable Precision Rough Sets Model.

Malcolm J. Beynon

Proceedings of the International Workshop on Rough Sets in Knowledge Discovery and Soft Computing, 2003

An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRS_beta.

Malcolm J. Beynon

Proceedings of the Rough Sets, 2003

Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model.

Malcolm J. Beynon

Proceedings of the Rough Sets, 2003

2002

A prototype store choice and location modelling system using Dempster-Shafer theory.

Malcolm J. Beynon, Benjamin Griffiths, A. David Marshall

Expert Syst. J. Knowl. Eng., 2002

DS/AHP method: A mathematical analysis, including an understanding of uncertainty.

Malcolm Beynon

Eur. J. Oper. Res., 2002

An analysis of distributions of priority values from alternative comparison scales within AHP.

Malcolm Beynon

Eur. J. Oper. Res., 2002

The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model.

Malcolm J. Beynon

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model.

Malcolm J. Beynon

Proceedings of the Rough Sets and Current Trends in Computing, 2002

2001

An expert system for multi-criteria decision making using Dempster Shafer theory.

Malcolm J. Beynon, Darren Cosker, A. David Marshall

Expert Syst. Appl., 2001

Reducts within the variable precision rough sets model: A further investigation.

Malcolm Beynon

Eur. J. Oper. Res., 2001

2000

Classification and rule induction using rough set theory.

Malcolm J. Beynon, Bruce Curry, Peter H. Morgan

Expert Syst. J. Knowl. Eng., 2000

An Investigation of beta-Reduct Selection within the Variable Precision Rough Sets Model.

Malcolm J. Beynon

Proceedings of the Rough Sets and Current Trends in Computing, 2000

1999

Comparing neural network approximations for different functional forms.

Peter H. Morgan, Bruce Curry, Malcolm J. Beynon

Expert Syst. J. Knowl. Eng., 1999

1997

Neural networks and forecasting: 'orthodox' methods and new research.

Bruce Curry, Peter H. Morgan, Malcolm Beynon

Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997