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Subjective evaluation of car seat comfort with fuzzy set techniques
Author(s) -
Levrat E.,
Voisin A.,
Bombardier S.,
Brémont J.
Publication year - 1997
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/(sici)1098-111x(199711/12)12:11/12<891::aid-int7>3.0.co;2-s
Subject(s) - flexibility (engineering) , computer science , set (abstract data type) , automotive industry , fuzzy logic , realization (probability) , expert system , fuzzy set , operations research , artificial intelligence , engineering , statistics , mathematics , programming language , aerospace engineering
Subjective evaluation is a central problem in the life cycle of most products. Automotive companies use subjective evaluation of car seat comfort to check the adequacy between specifications and effective realization. A great deal of time and money are spent to achieve this goal. To solve these problems, our project's goal is to save the expert knowledge and to automate this phase in order to achieve more flexibility. This article presents some of the first steps in saving the expert know‐how in addition to help for decision making. We propose tools for the expert assessment acquisition and processing using a fuzzy set technique called expertons. Expertons are applied to a typical example related to our application. It emphasizes the suitability of expertons for the help for decision making. © 1997 John Wiley & Sons, Inc.