Hesitant cognitive uncertain information in aggregation and decision making
نویسندگان
1 Iona Cillege
2 No.296, Longzhong Road, Xiangcheng District
3 Department of Mechanical Engineering Texas A&M University College Station, TX 77843-3123 USA
4 Faculty of Civil Engineering, Department of Mathematics, Slovak University of Technology (STU), Bratislava, Slovakia
5 Business School, Nanjing Normal University, Nanjing, China
6 vidyasagar university
7 Department of Statistics, Computer Science and Mathematics, Public University of Navarre
doi
10.22111/ijfs.2024.48546.8564چکیده
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.
