Please use this identifier to cite or link to this item:

Title: A parametric assessment approach to solving facility-location problems with fuzzy demands
Authors: Wu, Berlin
Watada, J.
Lin, P.-C.
Contributors: 應數系
Keywords: Distribution functions;Fuzzy systems;Assessment approaches;Conventional methods;Estimated parameter;Fuzzy data;Fuzzy statistic;Location decisions;Mean absolute percentage error;Uncertain demand;Probability distributions
Date: 2014-09
Issue Date: 2015-06-04 11:25:48 (UTC+8)
Abstract: 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.
Relation: IEEJ Transactions on Electrical and Electronic Engineering, 9(5), 484-493
Data Type: article
DOI 連結:
Appears in Collections:[應用數學系] 期刊論文

Files in This Item:

File Description SizeFormat

All items in 學術集成 are protected by copyright, with all rights reserved.

社群 sharing