A two-stage fuzzy dynamic capacity acquisition and assignment model with minimum risk criteria

  • Authors:
  • Guo-Qiang Yuan;Ming-Qiang Meng

  • Affiliations:
  • Fundamental Department, Hebei College of Finance, Baoding, China;Department of Basic Courses, Ordnance Engineering College, Shijiazhuang, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
  • Year:
  • 2009

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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.