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Title: Facility location problems with fuzzy demands based on parametric assessment
Authors: Lin, P.-C.;Watada, J.;Wu, Berlin
Contributors: 應數系
Keywords: Conventional methods;Empirical studies;Estimated parameter;Facility location models;Facility location problem;Location problems;Mean absolute percentage error;Uncertain demand;Distribution functions;Facilities;Probability distributions;Site selection
Date: 2013-06
Issue Date: 2015-05-28 16:59:47 (UTC+8)
Abstract: We discuss uncertainty included in demands in facility location problem in this paper. The uncertain demand is named as fuzzy demand in the 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 estimated parameters of underlying probability distribution function of fuzzy data. Moreover, we propose a defuzzification formula of the fuzzy demand named a realization of fuzzy demand. The defuzzification formula of fuzzy demand composes the upper bound of fuzzy demand and the lower bound of fuzzy demand. Moreover, an error of fuzzy demand is assessed as mean absolute percentage error of fuzzy demand. Empirical studies show that we can solve the real-life location problem by using the defuzzification formula of fuzzy demand and get higher profit in our facility location model than conventional methods. © 2013 IEEE.
Relation: Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, 2013, 論文編號 6608502, 795-800, 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013; Edmonton, AB; Canada; 24 June 2013 到 28 June 2013; 類別編號CFP13750-USB; 代碼 100334
Data Type: conference
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