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Hesitant cognitive uncertain information in aggregation and decision making | ||
| Iranian Journal of Fuzzy Systems | ||
| دوره 21، شماره 5، آذر و دی 2024، صفحه 1-9 اصل مقاله (387.71 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2024.48546.8564 | ||
| نویسندگان | ||
| LeSheng Jin1؛ Ronald R. Yager2؛ Chao Ma* 3؛ Reza Langari4؛ Chiranjibe Jana5؛ Radko Mesiar6؛ Humberto Bustince7 | ||
| 1Business School, Nanjing Normal University, Nanjing, China | ||
| 2Iona Cillege | ||
| 3No.296, Longzhong Road, Xiangcheng District | ||
| 4Department of Mechanical Engineering Texas A&M University College Station, TX 77843-3123 USA | ||
| 5vidyasagar university | ||
| 6Faculty of Civil Engineering, Department of Mathematics, Slovak University of Technology (STU), Bratislava, Slovakia | ||
| 7Department of Statistics, Computer Science and Mathematics, Public University of Navarre | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| Cognitive interval information؛ cognitive uncertain information؛ decision making؛ group decision making؛ information fusion؛ uncertain information | ||
| مراجع | ||
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