Structural analysis method for fuzzy rating scale data using fuzzy integration

Tatunori Matsui, Makoto Takeya

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

A questionnaire method of the fuzzy rating scale data is actively put to practical use with high efficiency because of the relatively high reliability or easy handling of the data. As a structural analysis method of the rating scale data, the semantic structure analysis (SS analysis) is proposed. The SS analysis is a method to interpret human daily activities or psychological sides from the item order, to whose structure attention is paid with the intention to build up structure of the items. In the SS analysis, rating allows a discrete fixed-point on the scale to be designated (fixed-point rating). However in some cases, it is difficult in the reality for evaluators to be confident of a specific discrete fixed-point as a rating value. Thus a method to make rating in a range (fuzzy rating) has to be contrived. In this paper, a method of the structural analysis allowing the fuzzy rating scale data to be dealt with as fuzzy data is proposed.

Original languageEnglish
Pages (from-to)493-500
Number of pages8
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
Publication statusPublished - 1994 Dec 1
EventProceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA
Duration: 1994 Oct 21994 Oct 5

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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