{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T06:03:55Z","timestamp":1671689035087},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683683","type":"print"},{"value":"9781643683690","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T00:00:00Z","timestamp":1670889600000},"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":[[2022,12,13]]},"abstract":"<jats:p>Aiming at solving the uncertainty of knowledge in variable precision fuzzy soft rough set model. Firstly, from the perspectives of the approximated set and fuzzy equivalent soft approximation space, the uncertainty measurement methods of variable precision fuzzy soft rough set model are defined, such as information granularity, information entropy, rough entropy, etc; Secondly, many related theorems of the measurement methods are given and proved, the monotonicity of the measurement methods are obtained when the fuzzy equivalent soft relation satisfies the inclusion condition; Finally, the feasibility and validity of the definition are verified by an example.<\/jats:p>","DOI":"10.3233\/faia220574","type":"book-chapter","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:03:24Z","timestamp":1671609804000},"source":"Crossref","is-referenced-by-count":0,"title":["Uncertainty Measurement of Variable Precision Fuzzy Soft Rough Set Model"],"prefix":"10.3233","author":[{"given":"Xinyi","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computing, Qinghai Normal University, Xining, China"},{"name":"Academy of Plateau Science and Sustainability, Xining, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghai","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computing, Qinghai Normal University, Xining, China"},{"name":"Academy of Plateau Science and Sustainability, Xining, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Proceedings of CECNet 2022"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:03:25Z","timestamp":1671609805000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220574"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,13]]},"ISBN":["9781643683683","9781643683690"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220574","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,13]]}}}