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Neutrosophic TOPSIS with Group Decision Making

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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

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is an effective tool for multi-attribute decision making. We present a general overview about the development of TOPSIS strategies in neutrosophic environments. In this chapter, we extend TOPSIS strategy to solve multi-attribute group decision making problems in single valued neutrosophic set as well as interval neutrosophic set environments. To develop the proposed TOPSIS strategies, the weights of decision makers are determined by using similarity measure based on Hamming distance . We aggregate each decision maker’s ratings to make common decision using aggregation operators. Employing revised closeness coefficient, we select the best option in the proposed TOPSIS strategies. To demonstrate the applicability and effectiveness of the proposed TOPSIS strategy, we solve two numerical examples of multi-attribute group decision making problems.

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Acknowledgements

The authors would like to acknowledge the insightful and constructive comments and suggestions of the Editors and the anonymous referees that are helpful to improve the chapter.

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Authors and Affiliations

  1. Department of Mathematics, Jadavpur University, Kolkata, 700032, India

    Pranab Biswas & Bibhas C. Giri

  2. Department of Mathematics, Nandalal Ghosh B.T. College, Panpur, P.O. Narayanpur, North 24 Parganas, 743126, West Bengal, India

    Surapati Pramanik

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  1. Pranab Biswas
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  2. Surapati Pramanik
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  3. Bibhas C. Giri
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Correspondence to Surapati Pramanik .

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  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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Biswas, P., Pramanik, S., Giri, B.C. (2019). Neutrosophic TOPSIS with Group Decision Making. 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_21

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