Intuitionistic fuzzy C-regression by using least squares support vector regression

•We developed a novel clustering algorithm for solving actual clustering problems.•The novel clustering algorithm improves conventional fuzzy c-regression model.•Empirical results indicate that the proposed clustering algorithm has superior performance. This paper proposes a novel intuitionistic fuz...

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Vydané v:	Expert systems with applications Ročník 64; s. 296 - 304
Hlavní autori:	Lin, Kuo-Ping, Chang, Hao-Feng, Chen, Tung-Lian, Lu, Yu-Ming, Wang, Ching-Hsin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2016
Predmet:	Fuzzy c-regression model Intuitionistic fuzzy sets Least squares support vector regression Sammon mapping Intuitionistic fuzzy sets Sammon mapping Least squares support vector regression Fuzzy c-regression model
ISSN:	0957-4174, 1873-6793
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