A Dempster-Shafer Theory based exposition of probabilistic reasoning in consumer choice

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X, Moutinho, Luiz and Veloutsou, Cleopatra 2010. A Dempster-Shafer Theory based exposition of probabilistic reasoning in consumer choice. Casillas, Jorge and Martínez-López, Francisco José, 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)

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Abstract

This chapter considers a probabilistic reasoning based investigation of an information system concerned with consumer choice. The DS/AHP technique for multi-criteria decision making is employed in this consumer analysis, and with its development formed from the Dempster-Shafer theory of evidence and the well known Analytical Hierarchy Process, it is closely associated with the notion of soft computing (in particular probabilistic reasoning). Emphasis in the chapter is on the elucidation of a marketing information system (expert system), which includes results on; the levels of judgements made by consumers, the combination of their preference judgements and results in the formulation and size of consideration sets of cars (within the considered car choice problem). Tutorial, graphical and tableau results are presented to enable the reader, unfamiliar with this form of soft computing, the clearest opportunity to follow its novel form of analysis and information content.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HF Commerce H Social Sciences > HM Sociology Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Marketing intelligent systems; Soft computing; Soft computing for marketing.
Publisher:	Springer
ISBN:	9783642156052
Related URLs:	Publisher Publisher Publisher
Last Modified:	19 Oct 2022 10:09
URI:	https://orca.cardiff.ac.uk/id/eprint/23432

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