A New Method for Solving Multi-Criteria Multi-Attributes Decision Making Based on the Ranking of Type-2 Fuzzy Variables

Dhiman Dutta, Mausumi Sen, Ashok Deshpande and Biplab Singha
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Dhiman Dutta: National Institute of Technology, Silchar, India
Mausumi Sen: National Institute of Technology, Silchar, India
Ashok Deshpande: University of California, Berkeley, USA
Biplab Singha: National Institute of Technology, Silchar, India

International Journal of Fuzzy System Applications (IJFSA), 2021, vol. 10, issue 1, 20-42

Abstract: In this paper, the authors have proposed the concept of interval type-2 triangular fuzzy variables. Then, they studied the concepts of value and ambiguity of interval type-2 triangular fuzzy variables and interval type-2 trapezoidal fuzzy variables. They introduced the concept of value and ambiguity in order to define the ranking method for the interval type-2 fuzzy variables. A comparative result of the various other ranking methods is also given in the tabular form. A multi-criteria multi-attributes decision-making problem is provided to explain the ranking method in which the evaluation ratings of the alternatives on the attributes, and the criteria weights as provided by the decision makers are expressed as linguistic terms (e.g., very high, medium, fair, and good). The multi-criteria multi-attributes decision-making problem is then worked out by applying the proposed algorithm.

Date: 2021
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