{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T13:44:19Z","timestamp":1770817459687,"version":"3.50.1"},"reference-count":0,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2014,6]]},"abstract":"<jats:p>In this study, the G-nucleolus of fuzzy cooperative games is proposed based on the G-excess of fuzzy coalitions. The G-nucleolus considers not only the constructive and the blocking powers, but also the size of fuzzy coalitions. Moreover, we show that the G-nucleolus is reasonable, and coincides with the SM-nucleolus when the function f is equal to 1 for each fuzzy coalition. The G-nucleolus can be obtained by calculating the f-nucleolus of a constant-sum fuzzy cooperative game. We prove that G-nucleolus belong to the non-empty precore of the corresponding constant-sum fuzzy cooperative game. Finally, some linear programming models are employed to generate the G-nucleolus effectively.<\/jats:p>","DOI":"10.3233\/ifs-130962","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T18:36:56Z","timestamp":1575311816000},"page":"2963-2971","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["The G-nucleolus for fuzzy cooperative games"],"prefix":"10.1177","volume":"26","author":[{"given":"Jian","family":"Lin","sequence":"first","affiliation":[{"name":"School of Management and Economics, Beijing Institute of Technology, Beijing, China"},{"name":"College of Computer and Information, Fujian Agriculture and Forestry University, Fuzhou, China"}]},{"given":"Qiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Management and Economics, Beijing Institute of Technology, Beijing, China"}]}],"member":"179","published-online":{"date-parts":[[2014,1]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-130962","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-130962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:16:58Z","timestamp":1770812218000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-130962"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":0,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2014,6]]}},"alternative-id":["10.3233\/IFS-130962"],"URL":"https:\/\/doi.org\/10.3233\/ifs-130962","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1]]}}}