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    題名: A parametric assessment approach to solving facility-location problems with fuzzy demands
    作者: Wu, Berlin
    吳柏林
    Watada, J.
    Lin, P.-C.
    貢獻者: 應數系
    關鍵詞: Distribution functions;Fuzzy systems;Assessment approaches;Conventional methods;Estimated parameter;Fuzzy data;Fuzzy statistic;Location decisions;Mean absolute percentage error;Uncertain demand;Probability distributions
    日期: 2014-09
    上傳時間: 2015-06-04 11:25:48 (UTC+8)
    摘要: In real-world applications, sometimes randomness and fuzziness may coexist. In facility-location problems, the data expressed in natural language may contain vague information. We discuss the uncertainty included in demands in facility-location problems. The uncertain demand is called fuzzy demand in this paper. In the facility-location model, the parameters of fuzzy demand are determined by calculating the estimated expected value of the fuzzy demand, which is obtained by using the estimated parameters of the underlying probability distribution function of the fuzzy data. Moreover, we propose a defuzzification formula of the fuzzy demand called the realization of fuzzy demand. The defuzzification formula of fuzzy demand comprises the upper bound and the lower bound of the fuzzy demand. Moreover, the error of the fuzzy demand is assessed as the mean absolute percentage error of the fuzzy demand. Empirical studies show that we can solve real-life location problems by using the defuzzification formula of fuzzy demand and get higher profit in our facility-location model than by using conventional methods. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
    關聯: IEEJ Transactions on Electrical and Electronic Engineering, 9(5), 484-493
    資料類型: article
    DOI 連結: http://dx.doi.org/10.1002/tee.21997
    DOI: 10.1002/tee.21997
    顯示於類別:[應用數學系] 期刊論文

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