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Type-2 fuzzy numbers made simple in decision making

Bin Zhu () and Peijia Ren ()
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Bin Zhu: Beijing Institute of Technology
Peijia Ren: South China University of Technology

Fuzzy Optimization and Decision Making, 2022, vol. 21, issue 2, No 2, 175-195

Abstract: Abstract For the decision-making problems based on decision makers’ judgments in terms of linguistic terms, we propose type-2 fuzzy numbers (T2FNs) that allow decision makers better formalize their judgments. A T2FN has two components: a primary membership and a secondary membership. Compared with T1FSs and interval type-2 fuzzy sets, T2FNs consider an additional dimension by introducing the secondary membership. The primary membership indicates the truth degree of judgment, and the secondary membership further indicates the reliability degree of the truth. We define simple operation rules on T2FNs such that they can be easily used to deal with decision-making problems, such as multi-criteria decision making and multi-stages decision making. Compared with existing related approaches, we verify our approach with several numerical examples.

Keywords: Type-2 fuzzy set; Type-2 fuzzy number; Decision making; Linguistic term (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10700-021-09363-y

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