Decision making of facility locations based on fuzzy probability distribution function

P. C. Lin, S. Wang, J. Watada

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

    3 Citations (Scopus)

    Abstract

    Facility locations can appear to be a challenge for both novice and experienced analysts. But, it is far more efficient if its decision making follows a logical, systematic procedure. Such an approach markedly increases the chances of finding a location and improves the firm's objectives. This paper aims to provide Fuzzy Probability Distribution Functions (FPDF) so that the decision making can be pursued under hybrid uncertainly. FPDF is defined using three parameters of central point, right radius and left radius. Moreover, a new fuzzy probability distribution function is defined on the basis of these three parameters. When FPDF are properly generated, the functions can easily be used in the decision making of facility locations by means of optimal model proposed in Shuming Wang, et al..

    Original languageEnglish
    Title of host publicationIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
    Pages1911-1915
    Number of pages5
    DOIs
    Publication statusPublished - 2010
    EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 - Macao
    Duration: 2010 Dec 72010 Dec 10

    Other

    OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
    CityMacao
    Period10/12/710/12/10

    Keywords

    • Fuzzy random variables
    • Fuzzy statistic
    • Location decision
    • Probability distribution function

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

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  • Cite this

    Lin, P. C., Wang, S., & Watada, J. (2010). Decision making of facility locations based on fuzzy probability distribution function. In IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1911-1915). [5674624] https://doi.org/10.1109/IEEM.2010.5674624