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
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