2008
DOI: 10.1016/j.ejor.2006.11.029
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Fuzzy facility location-allocation problem under the Hurwicz criterion

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Cited by 91 publications
(30 citation statements)
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“…The definition of the fitness function for developing the algorithms is important because of this uncertainty. In the literature, both the Hamming distance and the credibility measure are used to define the fitness function (López-González et al 2000;Yang et al 2007;Wen and Iwamura 2008). The method to adequately define the fitness function to reflect the possible shortage and surplus is the first issue addressed in the present study.…”
Section: Literature Reviewmentioning
confidence: 98%
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“…The definition of the fitness function for developing the algorithms is important because of this uncertainty. In the literature, both the Hamming distance and the credibility measure are used to define the fitness function (López-González et al 2000;Yang et al 2007;Wen and Iwamura 2008). The method to adequately define the fitness function to reflect the possible shortage and surplus is the first issue addressed in the present study.…”
Section: Literature Reviewmentioning
confidence: 98%
“…In recent studies, the credibility measure was also used. Peng and Liu (2004), Zheng and Liu (2006), Ke and Liu (2007), Yang et al (2007), and Wen and Iwamura (2008) were among those who used the credibility measure. However, the credibility measure does not consider the complete information of fuzzy numbers at any one time, which therefore, remains an issue.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Zhou (2002) constructed a fuzzy programming model for a minimax facility location problem. Wen and Iwamura (2004) discussed a fuzzy facility locationallocation problem under the Hurwicz criterion. Zhou and Liu (2006) modeled a capacitated location-allocation problem with fuzzy demands.…”
Section: Applicationsmentioning
confidence: 99%
“…Wen and Iwamura (2008) presented a new a-cost model with fuzzy demands under the Hurwicz criterion. In order to solve this model, the paper proposed a hybrid intelligent algorithm integrated by the simplex algorithm, fuzzy simulations and a genetic algorithm [8]. Batanovic, Petrovic, and Petrovic (2009) suggested maximal covering location problems in networks with uncertainty.…”
Section: Introductionmentioning
confidence: 99%