FUZZY LINEAR REGRESSION ANALYSIS OF THE NUMBER OF STAFF IN LOCAL GOVERNMENT.

H. Tanaka, T. Shimomura, J. Watada, K. Asai

    Research output: Book/ReportBook

    4 Citations (Scopus)

    Abstract

    In modeling systems where human estimation is influential, a fuzzy structure of systems must be considered. This structure is represented by fuzzy linear functions which are possibility distributions. The possibility of fuzzy linear functions can be calculated from the viewpoint of possibility measures. A fuzzy linear regression analysis is formulated by using fuzzy linear functions as a model of fuzzy structure of systems. As an example of this problem, we discuss three formulations in the decision model of the number of staff in local governments. The estimated values are obtained as fuzzy numbers which represent the fuzziness of the system structure.

    Original languageEnglish
    Place of PublicationBoca Raton, FL, USA
    PublisherCRC Press Inc
    Number of pages13
    ISBN (Print)0849362989
    Publication statusPublished - 1987

    ASJC Scopus subject areas

    • Engineering(all)

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  • Cite this

    Tanaka, H., Shimomura, T., Watada, J., & Asai, K. (1987). FUZZY LINEAR REGRESSION ANALYSIS OF THE NUMBER OF STAFF IN LOCAL GOVERNMENT. CRC Press Inc.