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The RIT2-FCRM is based on interval type-2 fuzzy sets (IT2FS) and applies a robust objective function, this clustering algorithm can reduce the impacts of outliers and noise points. The effectiveness and practicability of RIT2-FCRM are demonstrated by the identification results of the boiler\u2013turbine system. <\/jats:p>","DOI":"10.1142\/s1469026822500225","type":"journal-article","created":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T08:11:45Z","timestamp":1668413505000},"source":"Crossref","is-referenced-by-count":0,"title":["Boil-Turbine System Identification Based on Robust Interval Type-2 Fuzzy C-Regression Model"],"prefix":"10.1142","volume":"21","author":[{"given":"Jianzhong","family":"Shi","sequence":"first","affiliation":[{"name":"School of Energy and Power Engineering, Nanjing Institute of Technology, Hong Jing Da Dao 1 Hao, Nanjing, Jiangsu 211167, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,11,11]]},"reference":[{"key":"S1469026822500225BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2013.12.033"},{"key":"S1469026822500225BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2016.06.013"},{"key":"S1469026822500225BIB003","doi-asserted-by":"publisher","DOI":"10.3390\/su11185102"},{"key":"S1469026822500225BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1985.6313399"},{"key":"S1469026822500225BIB005","first-page":"1278","volume":"3","author":"Liu J. 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