DocumentCode :
456632
Title :
Fuzzy Capacitated Location-allocation Problem with Minimum Risk Criteria
Author :
Liu, Yan-Kui ; Zhu, Xiao-Liang
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ.
Volume :
1
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
424
Lastpage :
427
Abstract :
Based on credibility theory, a new class of two-stage minimum risk location-allocation model is first proposed. Then we deal with the approximation of the location and allocation problem after that, a hybrid algorithm, which integrates the approximation approach, neural network and simulated annealing, is designed to solve the proposed location-allocation problem, and a numerical example is provided to test the effectiveness of the hybrid algorithm
Keywords :
decision making; facility location; fuzzy set theory; neural nets; possibility theory; simulated annealing; approximation theory; credibility theory; fuzzy capacitated location-allocation problem; hybrid algorithm; minimum risk criteria; neural network; simulated annealing; Approximation algorithms; Chromium; Costs; Educational institutions; Fuzzy sets; Neural networks; Possibility theory; Simulated annealing; Stochastic systems; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.85
Filename :
1691829
Link To Document :
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