NDLI: Structural analysis method for fuzzy rating scale data using fuzzy integration

Content Provider	IEEE Xplore Digital Library
Author	Matsui, T. Takeya, M.
Copyright Year	1994
Description	Author affiliation: Dept. of Inf. & Comput. Sci., Waseda Univ., Tokyo, Japan (Matsui, T.)
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.
Starting Page	493
Ending Page	500
File Size	723532
Page Count	8
File Format	PDF
ISBN	0780321294
DOI	10.1109/ICSMC.1994.399888
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-02
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information analysis Data engineering Psychology Humans Design engineering Computer science Reliability engineering Data analysis
Content Type	Text
Resource Type	Article

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