Using I-subgroup-based weighted generalized interval t-norms for aggregating basic uncertain information
dc.authorid | Gómez, Marisol/0000-0003-3431-1256 | |
dc.authorid | Chen, Zhen-Song/0000-0003-4360-5459 | |
dc.authorid | yang, yi/0000-0002-7062-9221 | |
dc.authorid | Bustince, Humberto/0000-0002-1279-6195 | |
dc.authorwosid | Gómez, Marisol/B-6714-2013 | |
dc.authorwosid | Chen, Zhen-Song/K-3436-2019 | |
dc.authorwosid | Bustince, Humberto/H-4868-2011 | |
dc.contributor.author | Yang, Yi | |
dc.contributor.author | Chen, Zhen-Song | |
dc.contributor.author | Pedrycz, Witold | |
dc.contributor.author | Gomez, Marisol | |
dc.contributor.author | Bustince, Humberto | |
dc.date.accessioned | 2024-05-19T14:42:54Z | |
dc.date.available | 2024-05-19T14:42:54Z | |
dc.date.issued | 2024 | |
dc.department | İstinye Üniversitesi | en_US |
dc.description.abstract | In this paper, we present a method of extending t-norms and t-conorms to a given closed subinterval [a, b] in [-infinity,+infinity], which preserves the basic properties of these fuzzy connectives and their one-to-one correspondence with operations in a I-semigroup. Subsequently, the generalized De Morgan triples, weighted generalized interval t-norms and t-conorms are provided to construct the aggregation function for extended basic uncertain information. Eventually, we apply the proposed aggregation function to establish the basic uncertain linguistic information-based aggregation operator. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China [72201097, 72171182, 72031009]; Science and Technology Innovation Program of Hunan Province [2023RC3182] | en_US |
dc.description.sponsorship | Acknowledgements This research has been supported by the National Natural Science Foundation of China (Grant Nos. 72201097, 72171182, and 72031009) and the Science and Technology Innovation Program of Hunan Province (Grant No. 2023RC3182) . | en_US |
dc.identifier.doi | 10.1016/j.fss.2023.108771 | |
dc.identifier.issn | 0165-0114 | |
dc.identifier.issn | 1872-6801 | |
dc.identifier.scopus | 2-s2.0-85177048643 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org10.1016/j.fss.2023.108771 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12713/5298 | |
dc.identifier.volume | 476 | en_US |
dc.identifier.wos | WOS:001123872200001 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Fuzzy Sets and Systems | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | 20240519_ka | en_US |
dc.subject | I-Semigroup | en_US |
dc.subject | Generalized T-Norms And T-Conorms | en_US |
dc.subject | Extended Basic Uncertain Information | en_US |
dc.subject | Aggregation Operator | en_US |
dc.title | Using I-subgroup-based weighted generalized interval t-norms for aggregating basic uncertain information | en_US |
dc.type | Article | en_US |