Fuzzy Logic Marketing Models for Sustainable Development

AuthorEnache C. I.
Pages267-274
Bulletin of the Transilvania University of Braşov
Series V: Economic Sciences • Vol. 8 (57) No. 1 - 2015
Fuzzy logic marketing models for sustainable
development
Ioan Constantin ENACHE1
Abstract: Fuzzy logic offers a different approach to describe economic and marketing
phenomena. By providing a replacement for crisp values the fuzzy sets proved to be efficient
alternatives for customer behaviour analysis. These advantages can provide a new way to
address sustainable development issues. The present paper aims at presenting the main
characteristics of fuzzy models and their main advantages. Evidence on how to implement a
fuzzy model and what are its strong points are provided based on previous research and
published scientific papers. It is concluded that fuzzy logic gives a different view on a wide
range of topics.
Key-words: fuzzy logic, marketing models, sustainable development.
1. Introduction
Fuzzy logic gained an important role in the scientific field of marketing as soon as
the advantages of working with membership functions instead of crisp values
became obvious. The best ways to use fuzzy logic and fuzzy reasoning proved to be
in relation with marketing models. Marketing models are the final step in a
marketing research initiative (Lilien et al., 1992). The models can be used to better
understand marketing variables like customer behaviour and customer satisfaction,
to model response for price or product policies or to provide useful information
regarding marketing strategies.
The synergy between fuzzy logic and marketing models can deliver powerful
tools for marketers. The advantages of not needing crisp values, of using if-the rules
and the ability to plot results in a relevant manner led to a new kind of market
analysis – fuzzy logic marketing models. These new models are able to provide
reliable and sustainable tools for business development.
By using marketing models in business development the institutions can
strengthen their capacity to respond to market fluctuations and they can increase
their flexibility in relation to market changes. Combining fuzzy logic with marketing
models can further improve these advantages.
1 Transilvania University of Braşov, e-mail: ioan-constantin.enache@unitbv.ro

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT