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Proceedings Paper

Consumer preference models: fuzzy theory approach
Author(s): I. Burhan Turksen; I. A. Wilson
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Paper Abstract

Consumer preference models are widely used in new product design, marketing management, pricing and market segmentation. The purpose of this article is to develop and test a fuzzy set preference model which can represent linguistic variables in individual-level models implemented in parallel with existing conjoint models. The potential improvements in market share prediction and predictive validity can substantially improve management decisions about what to make (product design), for whom to make it (market segmentation) and how much to make (market share prediction).

Paper Details

Date Published: 22 December 1993
PDF: 9 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165026
Show Author Affiliations
I. Burhan Turksen, Univ. of Toronto (Canada)
I. A. Wilson, Univ. of Toronto (Canada)

Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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