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Neural Computing and Applications

, Volume 27, Issue 3, pp 727–737 | Cite as

TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment

  • Pranab BiswasEmail author
  • Surapati Pramanik
  • Bibhas C. Giri
Original Article

Abstract

A single-valued neutrosophic set is a special case of neutrosophic set. It has been proposed as a generalization of crisp sets, fuzzy sets, and intuitionistic fuzzy sets in order to deal with incomplete information. In this paper, a new approach for multi-attribute group decision-making problems is proposed by extending the technique for order preference by similarity to ideal solution to single-valued neutrosophic environment. Ratings of alternative with respect to each attribute are considered as single-valued neutrosophic set that reflect the decision makers’ opinion based on the provided information. Neutrosophic set characterized by three independent degrees namely truth-membership degree (T), indeterminacy-membership degree (I), and falsity-membership degree (F) is more capable to catch up incomplete information. Single-valued neutrosophic set-based weighted averaging operator is used to aggregate all the individual decision maker’s opinion into one common opinion for rating the importance of criteria and alternatives. Finally, an illustrative example is provided in order to demonstrate its applicability and effectiveness of the proposed approach.

Keywords

Fuzzy set Intuitionistic fuzzy set Multi-attribute group decision-making Neutrosophic set Single-valued neutrosophic set TOPSIS 

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Copyright information

© The Natural Computing Applications Forum 2015

Authors and Affiliations

  • Pranab Biswas
    • 1
    Email author
  • Surapati Pramanik
    • 2
  • Bibhas C. Giri
    • 1
  1. 1.Department of MathematicsJadavpur UniversityKolkataIndia
  2. 2.Department of MathematicsNandalal Ghosh B.T CollegePanpur, NarayanpurIndia

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