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An AHP-Fuzzy Synthetic Evaluation Model Based on Evidence Theory

  • Xiaoyi Wang
  • Chaozhen Hou
  • Jumei Yuan
  • Zaiwen Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

Considering the indefinite and fuzzy characters existing in index weighs of complex system, a method confirming index weights based on evidence theory was put forward. On the basis of it, an efficiency evaluation model for complex system integrating Analytical Hierarchy Process (AHP) with fuzzy synthetic evaluation method has been set up, which can obtain more reasonable and objective evaluation result for complex system. Through analyzing an example of the system fighting efficiency for missile and gun integration weapon, the result shows the validity and feasibility of this method.

Keywords

Membership Function Analytical Hierarchy Process Index Weight Evidence Theory Analytical Hierarchy Process Method 
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

  • Xiaoyi Wang
    • 1
    • 2
  • Chaozhen Hou
    • 1
  • Jumei Yuan
    • 1
  • Zaiwen Liu
    • 2
  1. 1.Department of Automatic Control, Beijing Institute of Technology, Beijing 100081China
  2. 2.College of Information Engineering, Journal of Beijing Technology and Business University, Beijing 100037China

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