Malcolm J. Beynon

39 papers Journal 23Unranked 12
YearRankTypeTitle / Venue / Authors
2015 J jnl
Evidence-based modelling of hybrid organizational strategies.
Comput. Math. Organ. Theory
Malcolm J. Beynon, Rhys Andrews, George A. Boyne
2014 — conf
Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS Analysis.
Belief Functions
Malcolm J. Beynon, Rhys Andrews
2014 — conf
Outliers in Evidential C-Means: An Empirical Exploration Using Survey Data on Organizational Social Capital.
Belief Functions
Malcolm J. Beynon, Rhys Andrews
2014 — conf
Reflections on DS/AHP: Lessons to Be Learnt.
Belief Functions
Malcolm J. Beynon
2012 J jnl
Psychological Contracts and Job Satisfaction: Clustering Analysis using Evidential C-Means and Comparison with Other Techniques.
Intell. Syst. Account. Finance Manag.
Malcolm J. Beynon, Margaret Heffernan, Aoife M. McDermott
2011 J jnl
Introduction of evidential contribution measures for the input variables used in a CaRBS based analysis: An application in strategic consensus.
Expert Syst. Appl.
Malcolm J. Beynon, Rhys Andrews
2010 — ch.
A Dempster-Shafer Theory Based Exposition of Probabilistic Reasoning in Consumer Choice.
Marketing Intelligent Systems Using Soft Computing
Malcolm J. Beynon, Luiz Moutinho, Cleopatra Veloutsou
2010 — ch.
Analysing Incomplete Consumer Web Data Using the Classification and Ranking Belief Simplex (Probabilistic Reasoning and Evolutionary Computation).
Marketing Intelligent Systems Using Soft Computing
Malcolm J. Beynon, Kelly Page
2010 J jnl
Evidence-based modelling of strategic fit: An introduction to RCaRBS.
Eur. J. Oper. Res.
Malcolm J. Beynon, Rhys Andrews, George A. Boyne
2008 — ch.
An Exposition of NCaRBS: Analysis of US Banks and Moody's Bank Financial Strength Rating.
Soft Computing Applications in Business
Malcolm J. Beynon
2008 — ch.
The Application of Fuzzy Decision Trees in Company Audit Fee Evaluation: A Sensitivity Analysis.
Soft Computing Applications in Business
Malcolm J. Beynon
2007 J jnl
Temporal support in the identification of e-learning efficacy: an example of object classification in the presence of ignorance.
Expert Syst. J. Knowl. Eng.
Paul Jones, Malcolm J. Beynon
2006 J jnl
An introduction of the condition class space with continuous value discretization and rough set theory.
Int. J. Intell. Syst.
Malcolm J. Beynon
2006 J jnl
Classification of Osteoarthritic and Normal Knee Function Using Three-Dimensional Motion Analysis and the Dempster-Shafer Theory of Evidence.
IEEE Trans. Syst. Man Cybern. Part A
Malcolm J. Beynon, Lianne Jones, Catherine A. Holt
2006 J jnl
The elucidation of multipliers and their moments in fuzzy closed Leontief input-output systems.
Fuzzy Sets Syst.
Malcolm J. Beynon, Max Munday
2005 J jnl
A method of aggregation in DS/AHP for group decision-making with the non-equivalent importance of individuals in the group.
Comput. Oper. Res.
Malcolm J. Beynon
2005 J jnl
A novel technique of object ranking and classification under ignorance: An application to the corporate failure risk problem.
Eur. J. Oper. Res.
Malcolm J. Beynon
2005 J jnl
An illustration of variable precision rough sets model: an analysis of the findings of the UK Monopolies and Mergers Commission.
Comput. Oper. Res.
Malcolm J. Beynon, Nigel Driffield
2005 J jnl
Expositing stages of VPRS analysis in an expert system: Application with bank credit ratings.
Expert Syst. Appl.
Benjamin Griffiths, Malcolm J. Beynon
2005 J jnl
Optimizing object classification under ambiguity/ignorance: application to the credit rating problem.
Intell. Syst. Account. Finance Manag.
Malcolm J. Beynon
2005 J jnl
Understanding local ignorance and non-specificity within the DS/AHP method of multi-criteria decision making.
Eur. J. Oper. Res.
Malcolm J. Beynon
2004 — conf
An Expert System for the Utilisation of the Variable Precision Rough Sets Model.
Rough Sets and Current Trends in Computing
Malcolm J. Beynon, Benjamin Griffiths
2004 — conf
Condition Class Classification Stability in RST due to Continuous Value Discretisation.
Rough Sets and Current Trends in Computing
Malcolm J. Beynon
2004 J jnl
Object classification under ignorance using CaRBS: the case of the European barn swallow.
Expert Syst. Appl.
Malcolm J. Beynon, Kate L. Buchanan
2004 J jnl
Stability of continuous value discretisation: an application within rough set theory.
Int. J. Approx. Reason.
Malcolm J. Beynon
2004 — conf
The Elucidation of an Iterative Procedure to beta-Reduct Selection in the Variable Precision Rough Sets Model.
Rough Sets and Current Trends in Computing
Malcolm J. Beynon
2004 J jnl
The application of a fuzzy-rule-based system in an exposition of the antecedents of sedge warbler song flight.
Expert Syst. J. Knowl. Eng.
Malcolm J. Beynon, Katherine L. Buchanan, Yu-Cheng Tang
2004 J jnl
The prediction of profitability using accounting narratives: a variable-precision rough set approach.
Intell. Syst. Account. Finance Manag.
Malcolm J. Beynon, Mark A. Clatworthy, Michael John Jones
2003 — conf
An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRS
RSFDGrC
Malcolm J. Beynon
2003 — conf
Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model.
RSFDGrC
Malcolm J. Beynon
2003 — conf
Introduction and Elucidation of the Quality of Sagacity in the Extended Variable Precision Rough Sets Model.
RSKD
Malcolm J. Beynon
2003 J jnl
The introduction and utilization of (l, u)-graphs in the extended variable precision rough sets model.
Int. J. Intell. Syst.
Malcolm J. Beynon
2002 J jnl
A prototype store choice and location modelling system using Dempster-Shafer theory.
Expert Syst. J. Knowl. Eng.
Malcolm J. Beynon, Benjamin Griffiths, A. David Marshall
2002 — conf
Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model.
Rough Sets and Current Trends in Computing
Malcolm J. Beynon
2002 — conf
The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model.
Rough Sets and Current Trends in Computing
Malcolm J. Beynon
2001 J jnl
An expert system for multi-criteria decision making using Dempster Shafer theory.
Expert Syst. Appl.
Malcolm J. Beynon, Darren Cosker, A. David Marshall
2000 — conf
An Investigation of beta-Reduct Selection within the Variable Precision Rough Sets Model.
Rough Sets and Current Trends in Computing
Malcolm J. Beynon
2000 J jnl
Classification and rule induction using rough set theory.
Expert Syst. J. Knowl. Eng.
Malcolm J. Beynon, Bruce Curry, Peter H. Morgan
1999 J jnl
Comparing neural network approximations for different functional forms.
Expert Syst. J. Knowl. Eng.
Peter H. Morgan, Bruce Curry, Malcolm J. Beynon