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Neutrosophic Fuzzy Analytic Hierarchy Process Approach for Safe Cities Evaluation Criteria

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13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 (ICAFS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 896))

Abstract

Many decisions in real life applications require taking different criteria into consideration simultaneously. To find a moderate solution to these kind of decisions, multiple criteria decision making approaches are used. Furthermore, crisp logic is unable to express the vagueness and uncertainty in evaluation of criteria. Hence, multiple criteria decision making approaches are commonly integrated with fuzzy logic. In recent years, ordinary fuzzy sets have been extended to new types. Neutrosophic set is one of the extensions of fuzzy sets and introduces a new component called “indeterminacy”, and carry more information than fuzzy sets. In this study, Neutrosophic Fuzzy Analytic Hierarchy Process (NF-AHP) method is presented. NF-AHP is used to construct a ranking model for cities in views of safety under four main criteria and 21 sub-criteria. The obtained results show that the most important criterion of city safety is personal security.

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Author information

Authors and Affiliations

  1. Air Force Academy, National Defense University, 34334, Istanbul, Turkey

    Serhat Aydın

  2. Department of Industrial Engineering, Gazi University, 06570, Ankara, Turkey

    Ahmet Aktas & Mehmet Kabak

Authors
  1. Serhat Aydın
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  2. Ahmet Aktas
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  3. Mehmet Kabak
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Corresponding author

Correspondence to Mehmet Kabak .

Editor information

Editors and Affiliations

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

    Rafik A. Aliev

  2. Systems Research Institute, Polish Academy of Sciences, 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. Department of Mechatronics, Near East University, Nicosia TRNC, Turkey

    Fahreddin M. Sadikoglu

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Aydın, S., Aktas, A., Kabak, M. (2019). Neutrosophic Fuzzy Analytic Hierarchy Process Approach for Safe Cities Evaluation Criteria. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_127

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