{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:44:13Z","timestamp":1702601053091},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684703","type":"print"},{"value":"9781643684710","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,12]]},"abstract":"<jats:p>Interval-valued Fermatean fuzzy sets are a new powerful tool for dealing with uncertainty problems. However, group decision-making methods under this new model are rarely studied. Therefore, this paper proposes a group decision-making method with a consensus mechanism. First, this paper proposes a new score function. The advantages of the score function are proved through comparative analysis. Secondly, a consensus-reaching method is proposed based on the new score function, and in order to shorten the consensus-reaching time, the preference approval structure is combined with the consensus-reaching process. Finally, this paper proposes a multi-attribute group decision-making framework with a consensus process in interval-valued Fermatean fuzzy environment.<\/jats:p>","DOI":"10.3233\/faia231068","type":"book-chapter","created":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T15:09:36Z","timestamp":1702566576000},"source":"Crossref","is-referenced-by-count":0,"title":["Interval-Valued Fermatean Fuzzy Multi-Attribute Group Decision-Making Method with a Consensus Mechanism"],"prefix":"10.3233","author":[{"given":"Huanling","family":"Sun","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuqin","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwu","family":"Qin","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Xinjiang Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining IX"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231068","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T15:09:37Z","timestamp":1702566577000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,12]]},"ISBN":["9781643684703","9781643684710"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231068","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,12]]}}}