Title :
A Two-Stage Fuzzy Dynamic Capacity Acquisition and Assignment Model with Minimum Risk Criteria
Author :
Yuan, Guo Qiang ; Meng, Ming Qiang
Author_Institution :
Fundamental Dept., Hebei Coll. of Finance, Baoding, China
Abstract :
Based on credibility theory and two-stage fuzzy optimization method, this paper presents a new class of dynamic capacity acquisition and assignment model. Then we deal with the approximation of fuzzy two-stage dynamic capacity acquisition and assignment problem. After that, a heuristic algorithm, which combines approximation approach, neural network (NN) and simulated annealing (SA), is designed to solve this dynamic capacity acquisition and assignment problem, and a numerical example is given to show the feasibility and effectiveness of the designed algorithm.
Keywords :
approximation theory; capacity planning (manufacturing); fuzzy set theory; neural nets; simulated annealing; approximation approach; credibility theory; fuzzy dynamic capacity acquisition; fuzzy dynamic capacity assignment; fuzzy optimization method; heuristic algorithm; minimum risk criteria; neural network; simulated annealing; Algorithm design and analysis; Approximation algorithms; Capacity planning; Distributed control; Educational institutions; Fuzzy systems; Heuristic algorithms; Neural networks; Stochastic systems; Uncertainty; Capacity expansion; approximation approach; credibility theory; simulated annealing; two-stage fuzzy optimization;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.656
