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On Possibilistic/Fuzzy Optimization

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 4529)

Abstract

We focus on possibilistic/fuzzy optimality in the framework of mathematical programming problem with a possibilistic objective function. We observe the interaction between possibilistic objective function values. Two optimality concepts, possible and necessary optimalities are reviewed. The necessary soft optimality is investigated.

Keywords

  • Membership Function
  • Fuzzy Number
  • Linear Programming Problem
  • Reasonable Solution
  • Fuzzy Linear Programming Problem

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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References

  1. Inuiguchi, M., Ramík, J.: Possibilistic linear programming. Fuzzy Sets and Systems 111(1), 3–28 (2000)

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Author information

Authors and Affiliations

Authors

Editor information

Patricia Melin Oscar Castillo Luis T. Aguilar Janusz Kacprzyk Witold Pedrycz

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© 2007 Springer Berlin Heidelberg

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Inuiguchi, M. (2007). On Possibilistic/Fuzzy Optimization. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds) Foundations of Fuzzy Logic and Soft Computing. IFSA 2007. Lecture Notes in Computer Science(), vol 4529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72950-1_35

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  • DOI: https://doi.org/10.1007/978-3-540-72950-1_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72917-4

  • Online ISBN: 978-3-540-72950-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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