Hesitant cognitive uncertain information in aggregation and decision making

Document Type : Research Paper

Authors

1 Business School, Nanjing Normal University, Nanjing, China

2 Iona Cillege

3 No.296, Longzhong Road, Xiangcheng District

4 Department of Mechanical Engineering Texas A&M University College Station, TX 77843-3123 USA

5 vidyasagar university

6 Faculty of Civil Engineering, Department of Mathematics, Slovak University of Technology (STU), Bratislava, Slovakia

7 Department of Statistics, Computer Science and Mathematics, Public University of Navarre

Abstract

The concepts of cognitive interval information and cognitive uncertain information, which are two recently proposed types of uncertain information, have been extended in this work to the typical hesitant fuzzy environment. We introduce the notions of typical hesitant monopolar cognitive interval information and typical hesitant cognitive uncertain information. To facilitate their analysis, we define uncertainty degree functions and score functions for these concepts using extended aggregation operators. Furthermore, we reanalyze some decision models discussed in earlier literature using these newly proposed concepts to demonstrate their advantages and potential applications.

Keywords

Main Subjects

References

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Iranian Journal of Fuzzy Systems
Volume 21, Issue 5
September and October 2024
Pages 1-9

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