Fuzzy consideration sets: a new approach based on direct use of consumer preferences
Bruce Curry and
Luisa Lazzari
International Journal of Applied Management Science, 2009, vol. 1, issue 4, 420-436
Abstract:
This paper offers a new approach to building fuzzy consideration sets, a well-established practical tool for marketers. Previous studies have been based on the standard (McFadden) model of consumer choice. In practical terms their approach is a variant of logistic regression, with fuzzy consideration utilities being imputed rather than treated directly. Here we demonstrate the feasibility of a direct method, in which consideration sets are constructed from the ground upwards using consumer preferences as expressed in questionnaires. The method and its computations are fully based on fuzzy mathematics and make use for example of linguistic variables. As well as demonstrating the feasibility of our method we also justify it as a potential tool for practitioners. In addition we consider some general issues relating to 'fuzzy' techniques.
Keywords: fuzzy arithmetic; consideration sets; membership function; linguistic variable; consumer preferences; fuzzy logic. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=26201 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:injams:v:1:y:2009:i:4:p:420-436
Access Statistics for this article
More articles in International Journal of Applied Management Science from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().