Structural analysis method for fuzzy rating scale data using fuzzy integration

Tatunori Matsui, Makoto Takeya

研究成果: Conference article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)493-500
ページ数8
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
1
出版ステータスPublished - 1994 12 1
イベントProceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA
継続期間: 1994 10 21994 10 5

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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