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Intuitionistic Fuzzy Linear Systems

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 862))

Abstract

In this work we present a method for solving intuitionistic fuzzy linear systems by four crisp linear systems. Also necessary and sufficient conditions for existence of intuitionistic fuzzy solution are given. A numerical examples are illustrated the efficiency of the proposed method.

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Author information

Authors and Affiliations

  1. Laboratory of Applied Mathematics and Scientific Computing, Faculty of Sciences and Technologies, Sultan Moulay Slimane University, BP 523, 23000, Beni Mellal, Morocco

    Hafida Atti, Bouchra Ben Amma, Said Melliani & S. Chadli

Authors
  1. Hafida Atti
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  2. Bouchra Ben Amma
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  3. Said Melliani
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  4. S. Chadli
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Corresponding author

Correspondence to Bouchra Ben Amma .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Atti, H., Ben Amma, B., Melliani, S., Chadli, S. (2020). Intuitionistic Fuzzy Linear Systems. In: Castillo, O., Melin, P., Kacprzyk, J. (eds) Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications. Studies in Computational Intelligence, vol 862. Springer, Cham. https://doi.org/10.1007/978-3-030-35445-9_12

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