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Application of the Fuzzy Optimality Concept to Decision Making

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

Abstract

In Multi Criteria Decision Making with linguistic variables, the DMs may have vague information, limited attention and different information processing capabilities. This paper proposes a new fuzzy decision making method which allows fuzzy preferences in linguistic terms for alternative selection. The approach is computationally simple and its underlying concept is logical and comprehensible, thus facilitating its implementation in a computer-based system.

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Author information

Authors and Affiliations

  1. Department of Control and Systems Engineering, Azerbaijan State Oil and Industry University, 20 Azadlig Avenue, Baku, AZ1010, Azerbaijan

    Akif V. Alizadeh

Authors
  1. Akif V. Alizadeh
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Correspondence to Akif V. Alizadeh .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

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

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Alizadeh, A.V. (2020). Application of the Fuzzy Optimality Concept to Decision Making. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_69

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