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
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;
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
DOI :
10.1109/ICSMC.1994.399888