{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T22:43:23Z","timestamp":1649025803895},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T00:00:00Z","timestamp":1634169600000},"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":[[2021,10,14]]},"abstract":"<jats:p>Granularity analysis and measurements for complex data environment are important tools to describe the essential attributes of the granular computing model(GCM). Firstly, based on fuzzy multiple relations, this paper difines a multi-fuzzy granular structure, and studies the hierarchical characteristics and relates mathematical conclusions of the four fuzzy multiple partial-order relations on the structure; Secondly, the measurement method of multi-fuzzy information granularity is proposed, and its properties of measurements are analyzed; Finally, the axiomatic definition of multi-fuzzy information granularity and its properties are discussed.<\/jats:p>","DOI":"10.3233\/faia210187","type":"book-chapter","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T21:52:26Z","timestamp":1634766746000},"source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Structure in Fuzzy Multi-Information Granular Computing Model"],"prefix":"10.3233","author":[{"given":"Weijie","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computing, Qinghai Normal University, Xining 810001, P.R.China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghai","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computing, Qinghai Normal University, Xining 810001, P.R.China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining VII"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210187","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:40:02Z","timestamp":1635169202000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210187"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210187","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,14]]}}}