An Interactive Algorithm to Construct an Appropriate Nonlinear Membership Function Using Information Theory and Statistical Method

Takashi Hasuike, Hideki Katagiri, Hiroe Tsubaki

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

    4 Citations (Scopus)

    Abstract

    This paper develops a constructing algorithm for an appropriate membership function as objectively as possible. It is important to set an appropriate membership function for real-world decision making. The main academic contribution of our proposed algorithm is to integrate a general continuous and nonlinear function with fuzzy Shannon entropy into subjective interval estimation by a heuristic method under a given probability density function based on real-world data. Two main steps of our proposed approach are to set membership values a decision maker confidently judges whether an element is included in the given set or not and to obtain other values objectively by solving a mathematical programming problem with fuzzy Shannon entropy. It is difficult to solve the problem efficiently using previous constructing approaches due to nonlinear function. In this paper, the given nonlinear membership function is approximately transformed into a piecewise linear membership function, and the appropriate values are determined. Furthermore, by introducing natural assumptions in the real-world and interactively adjusting the membership values, an algorithm to obtain the optimal condition of each appropriate membership value is developed.

    Original languageEnglish
    Title of host publicationProcedia Computer Science
    PublisherElsevier
    Pages32-37
    Number of pages6
    Volume61
    DOIs
    Publication statusPublished - 2015
    EventComplex Adaptive Systems, 2015 - San Jose, United States
    Duration: 2015 Nov 22015 Nov 4

    Other

    OtherComplex Adaptive Systems, 2015
    CountryUnited States
    CitySan Jose
    Period15/11/215/11/4

    Fingerprint

    Information theory
    Membership functions
    Statistical methods
    Entropy
    Heuristic methods
    Mathematical programming
    Probability density function
    Decision making

    Keywords

    • Fuzzy entropy
    • Interactive algorithm
    • Mathematical programming

    ASJC Scopus subject areas

    • Computer Science(all)

    Cite this

    An Interactive Algorithm to Construct an Appropriate Nonlinear Membership Function Using Information Theory and Statistical Method. / Hasuike, Takashi; Katagiri, Hideki; Tsubaki, Hiroe.

    Procedia Computer Science. Vol. 61 Elsevier, 2015. p. 32-37.

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

    Hasuike, T, Katagiri, H & Tsubaki, H 2015, An Interactive Algorithm to Construct an Appropriate Nonlinear Membership Function Using Information Theory and Statistical Method. in Procedia Computer Science. vol. 61, Elsevier, pp. 32-37, Complex Adaptive Systems, 2015, San Jose, United States, 15/11/2. https://doi.org/10.1016/j.procs.2015.09.140
    Hasuike, Takashi ; Katagiri, Hideki ; Tsubaki, Hiroe. / An Interactive Algorithm to Construct an Appropriate Nonlinear Membership Function Using Information Theory and Statistical Method. Procedia Computer Science. Vol. 61 Elsevier, 2015. pp. 32-37
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