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An AHP-Fuzzy Synthetic Evaluation Model Based on Evidence Theory

  • Xiaoyi Wang
  • Chaozhen Hou
  • Jumei Yuan
  • Zaiwen Liu
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.

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References

  1. 1.
    Zhang, H.-y., Dong, Y., Li, M.-q.: Research for Application of Group Decision Method on Appraisement System of Science Research Schema. In: IEEE Proceedings of 4th world congress on intelligence control and automation, Shanghai, P.R China, pp. 602–606 (2002)Google Scholar
  2. 2.
    Huang, D.-c., Shen, L.-z.: New Method for Constructing Comparison Matrix Based on the Proportion Scales in the AHP. Journal of System Engineering and Electronics 14, 8–13 (2003)MathSciNetGoogle Scholar
  3. 3.
    Michael, A., Greiner, J.W., Fowler, D., Shunk, L.: A Hybrid Approach Using the Analytic Hierarchy Process and Integer Programming to Screen Weapon Systems Projects. IEEE Transactions on Engineering Management 50, 192–203 (2003)CrossRefGoogle Scholar
  4. 4.
    Saaty, T.L.: The Analytic Hierarchy Process. McGarw-Hill, New York (1980)zbMATHGoogle Scholar
  5. 5.
    Hu, Y., Gao, J., Hu, L.-m., Dong, H.-m.: A New Method of Determining the Basic Belief Assignment in D-S Evidence Theory. In: IEEE Processing of 2003 International Conference and Machine Learning and Cybemetic, pp. 208–211 (2003)Google Scholar
  6. 6.
    LI, B.-c., Wang, B., Wei, J., et al.: An Efficient Combination Rule of Evidence Theory (in Chinese). Journal of Data Acquisition &Processing 17, 33–36 (2002)Google Scholar

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 ControlBeijing Institute of TechnologyBeijingP.R. China
  2. 2.College of Information EngineeringJournal of Beijing Technology and Business UniversityBeijingP.R. china

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