DocumentCode
2688599
Title
Structural analysis method for fuzzy rating scale data using fuzzy integration
Author
Matsui, Tatunori ; Takeya, Makoto
Author_Institution
Dept. of Inf. & Comput. Sci., Waseda Univ., Tokyo, Japan
Volume
1
fYear
1994
fDate
2-5 Oct 1994
Firstpage
493
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 (SS) analysis is proposed. The SS analysis is a method to interpret human daily activities or psychological sides from the item order, whose structure attention is paid with the intention to build the structure of the items. In the SS analysis, the rating allows a discrete fixed-point on the scale to be designated (fixed-point rating). However in some cases, it is difficult in reality for evaluators to be confident of a specific discrete fixed-point as a rating value. In this paper, a method of the structural analysis allowing the fuzzy rating scale data to be dealt with as fuzzy data is proposed
Keywords
data analysis; data structures; fuzzy set theory; operations research; discrete fixed-point rating; fuzzy integration; fuzzy rating scale data; questionnaire method; semantic structure analysis; structural analysis; Computer science; Data analysis; Data engineering; Design engineering; Humans; Information analysis; Psychology; Reliability engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-2129-4
Type
conf
DOI
10.1109/ICSMC.1994.399888
Filename
399888
Link To Document