Consumer preference models: fuzzy theory approach

I. Burhan Turksen; I. A. Wilson

doi:10.1117/12.165026

22 December 1993 Consumer preference models: fuzzy theory approach

I. Burhan Turksen, I. A. Wilson

Author Affiliations +

Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165026
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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).

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I. Burhan Turksen and I. A. Wilson "Consumer preference models: fuzzy theory approach", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165026

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