{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T18:58:14Z","timestamp":1648580294163},"reference-count":21,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2014,12]]},"abstract":"<jats:p> Type-2 fuzzy sets are generalizations of ordinary fuzzy sets, in which membership grades are characterized by fuzzy membership functions. Here, a problem of finding distance between two interval type-2 fuzzy sets (IT2-FSs) was considered. Based on a new definition of centroid for an IT2-FS, a formulation for calculation of the distance between two IT2-FSs was introduced, and an algorithm was explained to obtain it. The proposed distance formula was incorporated in Yang and Shih's clustering algorithm to reach a clustering method for interval type-2 fuzzy data sets. The applicability of the proposed distance formula was evaluated using two artificial and real data sets, and reasonable results were obtained. <\/jats:p>","DOI":"10.1142\/s1469026814500205","type":"journal-article","created":{"date-parts":[[2014,12,29]],"date-time":"2014-12-29T06:47:38Z","timestamp":1419835658000},"page":"1450020","source":"Crossref","is-referenced-by-count":0,"title":["A NEW DISTANCE FOR INTERVAL TYPE-2 FUZZY SETS WITH AN APPLICATION TO CLUSTERING"],"prefix":"10.1142","volume":"13","author":[{"given":"ARMAGHAN","family":"HEIDARZADE","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Mazandaran University of Science and Technology, P. O. 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