General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering

Pattern recognition in real-world data is subject to various sources of uncertainty that should be appropriately managed. The focus of this paper is the management of uncertainty associated with parameters of fuzzy clustering algorithms. Type-2 fuzzy sets (T2 FSs) have received increased research in...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on fuzzy systems Vol. 20; no. 5; pp. 883 - 897
Main Authors:	Linda, O., Manic, M.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2012 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Clustering algorithms Construction Frequency selective surfaces Fuzzy Fuzzy C-means Fuzzy logic Fuzzy set theory Fuzzy sets general type-2 fuzzy sets Linguistics Mathematical models Partitioning algorithms pattern recognition Pragmatics Studies Uncertainty α-planes representation
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!