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An Integrated AHP & DEA Methodology with Neutrosophic Sets

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Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 369))

Abstract

As a generalization of intuitionistic fuzzy sets, neutrosophic sets have been developed to represent vague, imprecise, incomplete, and inconsistent information existing in real world. The independent components of a neutrosophic set are truth, indeterminacy, and falsity. In the literature, neutrosophic sets have been employed in the development of new extensions of multiple criteria decision making methods such as neutrosophic TOPSIS and neutrosophic VIKOR. In this chapter, a new Neutrosophic Analytic Hierarchy Process (NAHP) is proposed. Then, neutrosophic AHP is integrated with neutrosophic Data Envelopment Analysis (DEA) for bringing solution to the performance measurement problems. The inputs and outputs of DEA method are weighted by Neutrosophic AHP. The proposed methodology is implemented to solve performance evaluation problem of private universities.

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Author information

Authors and Affiliations

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

    Cengiz Kahraman, Başar Öztayşi & Sezi Çevik Onar

  2. Department of Industrial Engineering, Faculty of Engineering, Istanbul Okan University, Akfirat-Tuzla, 34959, Istanbul, Turkey

    İrem Otay

Authors
  1. Cengiz Kahraman
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  2. İrem Otay
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  3. Başar Öztayşi
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  4. Sezi Çevik Onar
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Correspondence to İrem Otay .

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Editors and Affiliations

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

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Okan University, Akfirat-Tuzla, Istanbul, Turkey

    İrem Otay

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Kahraman, C., Otay, İ., Öztayşi, B., Onar, S.Ç. (2019). An Integrated AHP & DEA Methodology with Neutrosophic Sets. In: Kahraman, C., Otay, İ. (eds) Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Studies in Fuzziness and Soft Computing, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-030-00045-5_24

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