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Fuzzy Logic in Its 50th Year pp 21–58Cite as

Fuzzy Decision Making: Its Pioneers and Supportive Environment

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

Abstract

Fuzzy decision making is the collection of single or multicriteria techniques aiming at selecting the best alternative in case of imprecise, incomplete, and vague data. This chapter reviews the fuzzy decision making literature and summarizes the review results by tabular and graphical illustrations. The classification is based on the new extensions of fuzzy sets: Intuitionistic, hesitant, and type-2 fuzzy sets. Later, the media publishing fuzzy decision making papers, journals, books, conferences, and societies are summarized. Finally, fuzzy decision making examples are given for ordinary, intuitionistic, hesitant, and type-2 fuzzy sets.

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Authors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Macka, 34367, Istanbul, Turkey

    Cengiz Kahraman, Sezi Çevik Onar & Başar Öztayşi

Authors
  1. Cengiz Kahraman
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  2. Sezi Çevik Onar
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  3. Başar Öztayşi
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Corresponding author

Correspondence to Cengiz Kahraman .

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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Kahraman, C., Onar, S.Ç., Öztayşi, B. (2016). Fuzzy Decision Making: Its Pioneers and Supportive Environment. 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_2

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  • DOI: https://doi.org/10.1007/978-3-319-31093-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31091-6

  • Online ISBN: 978-3-319-31093-0

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