DocumentCode
1624675
Title
An interval type-2 fuzzy pcm algorithm for pattern recognition
Author
Min, Ji-Hee ; Shim, Eun-A ; Rhee, Frank Chung-Hoon
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Hanyang Univ., Ansan, South Korea
fYear
2009
Firstpage
480
Lastpage
483
Abstract
The possibilistic C-means (PCM) was proposed to overcome some of the drawbacks associated with the fuzzy C-means (FCM) such as improved performance for noise data. However, PCM possesses some drawbacks such as sensitivity in the initial parameter values and to patterns that have relatively short distances between the prototypes. To overcome theses drawbacks, we propose an interval type-2 fuzzy approach to PCM by considering uncertainty in the fuzzy parameter m in the PCM algorithm.
Keywords
fuzzy set theory; pattern clustering; pattern recognition; fuzzy C-means; interval type-2 fuzzy PCM algorithm; pattern recognition; Clustering algorithms; Computational complexity; Computer science; Fuzzy sets; Pattern recognition; Phase change materials; Prototypes; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location
Jeju Island
ISSN
1098-7584
Print_ISBN
978-1-4244-3596-8
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2009.5277167
Filename
5277167
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