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An AHP-Fuzzy Synthetic Evaluation Model Based on Evidence Theory

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Computational Intelligence (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4114))

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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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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, X., Hou, C., Yuan, J., Liu, Z. (2006). An AHP-Fuzzy Synthetic Evaluation Model Based on Evidence Theory. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_13

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  • DOI: https://doi.org/10.1007/978-3-540-37275-2_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37274-5

  • Online ISBN: 978-3-540-37275-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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