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An Expert System for the Solution of Fuzzy Linear Programming Problems

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Interactive Fuzzy Optimization

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 368))

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Abstract

The article proposes an expert system for the solution of fuzzy linear programming problems. Decision making rules of the system are generalized from those of fuzzy linear programming problems and make it possible to obtain a solution under qualitative information conditions. Methods for the estimation of the solving rules matrix are obtained. A fuzzy inference algorithm is developed. An architecture of a expert system is presented. Potential possibilities of the expert system are showed on a model example.

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References

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Author information

Authors and Affiliations

  1. Department of Algorithmic Languages, Tver’ State University, ul. Zhelyabova 33, 170000, Tver’, USSR

    Alexander V. Yazenin

Authors
  1. Alexander V. Yazenin
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Trento, Via Inama 13, 38100, Trento, Italy

    Mario Fedrizzi

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  3. Institute of Mathematics, University of Liège, Avenue des Tilleuls (D1), 4000, Liège, Belgium

    Marc Roubens

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© 1991 Springer-Verlag Berlin Heidelberg

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Yazenin, A.V. (1991). An Expert System for the Solution of Fuzzy Linear Programming Problems. In: Fedrizzi, M., Kacprzyk, J., Roubens, M. (eds) Interactive Fuzzy Optimization. Lecture Notes in Economics and Mathematical Systems, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45700-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-45700-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54577-4

  • Online ISBN: 978-3-642-45700-5

  • eBook Packages: Springer Book Archive

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