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Multi-Objective Programming and Goal Programming pp 183–189Cite as

An Application of Fuzzy Multiobjective Programming to Fuzzy AHP

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Part of the book series: Advances in Soft Computing ((AINSC,volume 21))

Abstract

In the real world, we encounter many subjective evaluation problems. For some class of them, we can give the numerical evaluation by means of Analytic Hierarchy Process (AHP) approaches. Moreover, we can even identify the λ-fuzzy measure as the subjective evaluation by using AHP result. Although the original problem includes subjective estimates, this identification process has no vagueness. So, in this article, we discuss the identification process with vagueness. That is, fuzzy multiobjective programming techniques are applied to an identification problem for the parameter of λ-fuzzy measure.

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References

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Authors and Affiliations

  1. Kanazawa Gakuin University, Kanazawa Ishikawa, 920-1392, Japan

    Hiroaki Kuwano

Authors
  1. Hiroaki Kuwano
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© 2003 Springer-Verlag Berlin Heidelberg

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Kuwano, H. (2003). An Application of Fuzzy Multiobjective Programming to Fuzzy AHP. In: Multi-Objective Programming and Goal Programming. Advances in Soft Computing, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36510-5_25

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  • DOI: https://doi.org/10.1007/978-3-540-36510-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00653-4

  • Online ISBN: 978-3-540-36510-5

  • eBook Packages: Springer Book Archive

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