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

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 Intelligence Systems Using Soft Computing. Series: Studies in Fuzziness and Soft Computing (258). Springer, pp. 365-387. ISBN 9783642156052 (doi:10.1007/978-3-642-15606-9_21)

Full text not currently available from Enlighten.

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 Sections
Status:Published
Glasgow Author(s) Enlighten ID:Veloutsou, Professor Cleopatra and Moutinho, Professor Luiz
Authors: Beynon, M.J., Moutinho, L., and Veloutsou, C.
Subjects:H Social Sciences > HB Economic Theory
College/School:College of Social Sciences > Adam Smith Business School > Management
Publisher:Springer
ISBN:9783642156052

University Staff: Request a correction | Enlighten Editors: Update this record