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Interval-Valued Neutrosophic Extension of EDAS Method

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 642))

Abstract

EDAS (Evaluation Based on Distance from Average Solution) is based on the distances of each alternative from the average solution with respect to each criterion. This method is similar to distance based multi-attribute decision making methods such as TOPSIS and VIKOR. It simplifies the calculation of distances to ideal solution and determines the final decision rapidly. EDAS method has been already extended to its ordinary fuzzy, intuitionistic fuzzy and Type-2 fuzzy versions. In this paper, we extend EDAS method to its interval-valued neutrosophic version with the advantage of considering a decision maker’s truthiness, falsity and indeterminacy simultaneously. The proposed method has been applied to a multi-criteria and multi-expert supplier selection problem and a sensitivity analysis is conducted to check the robustness of the given decisions, also the deneutrosophicated decision matrix and weight of the criteria are applied to crisp EDAS and crisp TOPSIS method to check the robustness of our method.

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Authors and Affiliations

  1. Department of Industrial Engineering, Yildiz Technical University, Besiktas, İstanbul, Turkey

    Ali Karaşan

  2. Department of Industrial Engineering, İstanbul Technical University, Macka, İstanbul, Turkey

    Cengiz Kahraman

Authors
  1. Ali Karaşan
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  2. Cengiz Kahraman
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Corresponding author

Correspondence to Ali Karaşan .

Editor information

Editors and Affiliations

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

    Janusz Kacprzyk

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

    Eulalia Szmidt

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

    Slawomir Zadrożny

  4. Department of Telecommunications and Information Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K. T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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Karaşan, A., Kahraman, C. (2018). Interval-Valued Neutrosophic Extension of EDAS Method. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-66824-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66823-9

  • Online ISBN: 978-3-319-66824-6

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