• 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