![](/images/graphics-bg.png)
An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques
Joint Authors
Valdez, Fevrier
Castillo, Oscar
Melin, Patricia
Rubio, Elid
Gonzalez, Claudia I.
Martinez, Gabriela
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-31
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
In this work an extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of FPCM algorithm.
With the purpose of observing the performance of the proposal against the Interval Type-2 Fuzzy C-Means algorithm, several experiments were made using both algorithms with well-known datasets, such as Wine, WDBC, Iris Flower, Ionosphere, Abalone, and Cover type.
In addition some experiments were performed using another set of test images to observe the behavior of both of the above-mentioned algorithms in image preprocessing.
Some comparisons are performed between the proposed algorithm and the Interval Type-2 Fuzzy C-Means (IT2FCM) algorithm to observe if the proposed approach has better performance than this algorithm.
American Psychological Association (APA)
Rubio, Elid& Castillo, Oscar& Valdez, Fevrier& Melin, Patricia& Gonzalez, Claudia I.& Martinez, Gabriela. 2017. An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques. Advances in Fuzzy Systems،Vol. 2017, no. 2017, pp.1-23.
https://search.emarefa.net/detail/BIM-1121824
Modern Language Association (MLA)
Rubio, Elid…[et al.]. An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques. Advances in Fuzzy Systems No. 2017 (2017), pp.1-23.
https://search.emarefa.net/detail/BIM-1121824
American Medical Association (AMA)
Rubio, Elid& Castillo, Oscar& Valdez, Fevrier& Melin, Patricia& Gonzalez, Claudia I.& Martinez, Gabriela. An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques. Advances in Fuzzy Systems. 2017. Vol. 2017, no. 2017, pp.1-23.
https://search.emarefa.net/detail/BIM-1121824
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121824