An automatic KANSEI fuzzy rule creating system using thesaurus

Hajime Hotta, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an automatic Kansei fuzzy rule creating system using thesaurus. In Kansei Engineering, there are a lot of words for the expression of image. However, conventional methods cannot treat these words because H is too difficult to collect enough data of all words. The proposed system is an enhanced algorithm of the conventional method that the authors proposed. A set of fuzzy rules for only one impression word are extracted from the questionnaire responses by the conventional one. With the proposed system, sets of fuzzy rules for many words defined in the dictionary are extracted. The flow of the system consists of 3 steps: (1) calculation of the weights of thesaurus networks; (2) data collection; (3) Extraction of fuzzy rules. Using a Japanese thesaurus dictionary, the sets of fuzzy rules for 1,195 impression words are extracted while the number of registered adjectives In the thesaurus is 2,822. From experimental results, the fuzzy rules extracted by the proposed system obtained higher accuracy than that extracted by the conventional one.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Fuzzy Systems, FUZZY
DOIs
Publication statusPublished - 2007 Dec 1
Event2007 IEEE International Conference on Fuzzy Systems, FUZZY - London, United Kingdom
Duration: 2007 Jul 232007 Jul 26

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2007 IEEE International Conference on Fuzzy Systems, FUZZY
CountryUnited Kingdom
CityLondon
Period07/7/2307/7/26

    Fingerprint

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Hotta, H., & Hagiwara, M. (2007). An automatic KANSEI fuzzy rule creating system using thesaurus. In 2007 IEEE International Conference on Fuzzy Systems, FUZZY [4295586] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2007.4295586