{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:13:42Z","timestamp":1777702422404,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"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":[[2013,9]]},"abstract":"<jats:p>A nonparametric approach for testing statistical hypotheses based on intuitionistic fuzzy data is presented. According to the proposed approach, first, a confidence interval based on intuitionistic fuzzy data is defined, which are then used to make a procedure for testing statistical hypotheses. To evaluate statistical hypotheses, a new criteria, called degree of acceptance (DA), has been proposed.<\/jats:p>","DOI":"10.3233\/ifs-2012-0657","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T17:52:55Z","timestamp":1575309175000},"page":"525-534","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Statistical nonparametric test based on the intuitionistic fuzzy data"],"prefix":"10.1177","volume":"25","author":[{"given":"Mohammad Ghasem","family":"Akbari","sequence":"first","affiliation":[{"name":"Department of Statistics, Faculty of Mathematical Sciences and Statistics, University of Birjand, Birjand, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohsen","family":"Arefi","sequence":"additional","affiliation":[{"name":"Department of Statistics, Faculty of Mathematical Sciences and Statistics, University of Birjand, Birjand, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2013,1]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-2012-0657","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-2012-0657","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:35:50Z","timestamp":1777455350000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-2012-0657"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,1]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2013,9]]}},"alternative-id":["10.3233\/IFS-2012-0657"],"URL":"https:\/\/doi.org\/10.3233\/ifs-2012-0657","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1]]}}}