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Type-1 to Type-n Fuzzy Logic and Systems

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Fuzzy Logic in Its 50th Year

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 341))

Abstract

In this chapter, the motivation for using fuzzy systems, the mathematical concepts of type-1 to type-n fuzzy sets, logic, and systems as well as their applications in solving real world problems are presented.

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Authors and Affiliations

  1. Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran

    M. H. Fazel Zarandi & R. Gamasaee

  2. Knowledge Intelligent Systems Laboratory, University of Toronto, Toronto, Canada

    M. H. Fazel Zarandi

  3. Division of Graduate Studies, Tijuana Institute of Technology, Calzada Tecnologico S/N, Fracc., Tomas Aquino Tijuana, B.C., Mexico

    O. Castillo

Authors
  1. M. H. Fazel Zarandi
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  2. R. Gamasaee
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  3. O. Castillo
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Corresponding author

Correspondence to M. H. Fazel Zarandi .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Uzay Kaymak

  3. Department of Computer Engineering, Middle East Technical University (M, Ankara, Turkey

    Adnan Yazici

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Fazel Zarandi, M.H., Gamasaee, R., Castillo, O. (2016). Type-1 to Type-n Fuzzy Logic and Systems. In: Kahraman, C., Kaymak, U., Yazici, A. (eds) Fuzzy Logic in Its 50th Year. Studies in Fuzziness and Soft Computing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-319-31093-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-31093-0_6

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