Structural analysis for fuzzy rating scale data

Tatsunori Matsui, Makoto Takeya

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In order to analyze the results of questionnaire using rating scale method, it is important to clarify relational structure among questionnaire items. The FSA (Fuzzy Structural Analysis) method is the method for structural analysis for fuzzy rating scale. In this paper, we define the ordering coefficient between two items and present that FSA is the generalization of SS analysis and Ordering Theory.

    Original languageEnglish
    Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1297-1302
    Number of pages6
    Volume1992-January
    ISBN (Print)0780307208, 9780780307209
    DOIs
    Publication statusPublished - 1992
    EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 1992 - Chicago, United States
    Duration: 1992 Oct 181992 Oct 21

    Other

    OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 1992
    CountryUnited States
    CityChicago
    Period92/10/1892/10/21

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Human-Computer Interaction

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  • Cite this

    Matsui, T., & Takeya, M. (1992). Structural analysis for fuzzy rating scale data. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (Vol. 1992-January, pp. 1297-1302). [271607] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.1992.271607