The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X, Curry, Bruce and Morgan, Peter Huw ORCID: https://orcid.org/0000-0002-8555-3493 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

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Abstract

The objective of this paper is to describe the potential offered by the Dempster–Shafer theory (DST) of evidence as a promising improvement on “traditional” approaches to decision analysis. Dempster–Shafer techniques originated in the work of Dempster on the use of probabilities with upper and lower bounds. They have subsequently been popularised in the literature on Artificial Intelligence (AI) and Expert Systems, with particular emphasis placed on combining evidence from different sources. In the paper we introduce the basic concepts of the DST of evidence, briefly mentioning its origins and comparisons with the more traditional Bayesian theory. Following this we discuss recent developments of this theory including analytical and application areas of interest. Finally we discuss developments via the use of an example incorporating DST with the Analytic Hierarchy Process (AHP).

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Dempster–Shafer theory; AHP; Probabilities; Multicriteria decision making; Belief functions; Evidence theory
Publisher:	Elsevier
ISSN:	0305-0483
Last Modified:	21 Oct 2022 09:49
URI:	https://orca.cardiff.ac.uk/id/eprint/37838

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