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A Study on Decision Model of Bottleneck Capacity Expansion with Fuzzy Demand

  • Bo He
  • Chao Yang
  • Mingming Ren
  • Yunfeng Ma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4234)

Abstract

After the network has been constructed, with the increasing demand, the network must be faced with the capacity expansion problem. In this paper, a mathematic model is formulated to solve the bottleneck capacity expansion problem of network with fuzzy demand. A linear program model with fuzzy coefficient is put forward. We present a decomposition algorithm to solve the model. The results show the decomposition algorithm can improve the solving speed greatly. So, we can minimize the expansion cost and provide evidence for the decision maker to make reasonable and effective decision.

Keywords

Fuzzy Number Decision Model Knapsack Problem Decomposition Algorithm Linear Program Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bo He
    • 1
  • Chao Yang
    • 1
  • Mingming Ren
    • 1
  • Yunfeng Ma
    • 2
  1. 1.School of ManagementHuazhong University of Science & TechnologyWuhanChina
  2. 2.School of ManagementWuhan University of Science & TechnologyWuhanChina

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