A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS

Ervural B. C., Öner S. C., ÇOBAN V., Kahraman C.

IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, İstanbul, Turkey, 2 - 05 August 2015, vol.2015-November identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2015-November
  • Doi Number: 10.1109/fuzz-ieee.2015.7338119
  • City: İstanbul
  • Country: Turkey
  • Keywords: group decision making, hesitancy, intuitionistic fuzzy sets, Multiple attribute, non-linear programming, TOPSIS
  • Bilecik Şeyh Edebali University Affiliated: No

Abstract

Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers' weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.