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A TFN-Based AHP Model for Solving Group Decision-Making Problems

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

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Abstract

Because the expert(s) usually give the judgment with an uncertainty degree in general decision-making problems, combined the analytic hierarchy process (AHP) with the basic theory of the triangular fuzzy number (TFN), a TFN-based AHP model is suggested. The proposed model makes decision-makers’ judgment more accordant with human thought mode and derives priorities from TFN-based judgment matrices regardless of their consistency. In addition, formulas of the model are normative, they can be operated by programming easily and no human intervention is needed while applying the model-based software system. The results of an illustrative case indicate that, by applying the proposed model, fair and reasonable conclusions are obtained and the deviation scope of the priority weight of every decision element is given easily.

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© 2005 Springer-Verlag Berlin Heidelberg

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Cao, J., Zhou, G., Ye, F. (2005). A TFN-Based AHP Model for Solving Group Decision-Making Problems. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_17

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  • DOI: https://doi.org/10.1007/11596448_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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