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 language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Publisher | IEEE |
| Pages | 493-500 |
| Number of pages | 8 |
| Volume | 1 |
| Publication status | Published - 1994 |
| Event | Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA Duration: 1994 Oct 2 → 1994 Oct 5 |
Other
| Other | Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) |
|---|---|
| City | San Antonio, TX, USA |
| Period | 94/10/2 → 94/10/5 |
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ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
Cite this
Structural analysis method for fuzzy rating scale data using fuzzy integration. / Matsui, Tatsunori; Takeya, Makoto.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 1 IEEE, 1994. p. 493-500.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Structural analysis method for fuzzy rating scale data using fuzzy integration
AU - Matsui, Tatsunori
AU - Takeya, Makoto
PY - 1994
Y1 - 1994
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=0028729430&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0028729430
VL - 1
SP - 493
EP - 500
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
PB - IEEE
ER -