Dempster-Shafer based probabilistic fuzzy logic system for wind speed prediction

Xian-Bing Meng, Han-Xiong Li

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    4 Citations (Scopus)

    Abstract

    This paper proposes an improved probabilistic fuzzy logic system with Dempster Shafer structure (DS-PFLS) for wind speed prediction. The Dempster Shafer theory and 3 sigma results are integrated into probabilistic fuzzy logic system (PFLS) to address the complex derivation of the secondary probability density function and to eliminate the computational overload. The secondary probability density function based on the center of primary fuzzy membership in PFLS is proposed. Moreover, an improved Chicken Swarm Optimization (CSO) is developed for optimizing the related parameters of DS-PFLS. Simulations and comparisons based on the wind speed prediction demonstrate the effectivity and efficiency of the proposed method.
    Original languageEnglish
    Title of host publication2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
    PublisherIEEE
    ISBN (Electronic)9781538626962
    ISBN (Print)9781538626979
    DOIs
    Publication statusPublished - Nov 2017
    Event2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2017) - Pingtung, Taiwan, China
    Duration: 12 Nov 201715 Nov 2017

    Publication series

    NameInternational Conference on Fuzzy Theory and Its Applications
    Volume2017
    ISSN (Electronic)2377-5831

    Conference

    Conference2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2017)
    PlaceTaiwan, China
    CityPingtung
    Period12/11/1715/11/17

    Research Keywords

    • Chicken Swarm Optimization
    • Dempster-Shafer
    • probabilistic fuzzy logic system
    • Wind speed prediction

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