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2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
A Fuzzy C-means Type Clustering Algorithm on Triangular Fuzzy Numbers
Tianjin, China
August 14-August 16
ISBN: 978-0-7695-3735-1
| ASCII Text | x | ||
| Rong Lan, Jiu-lun Fan, "A Fuzzy C-means Type Clustering Algorithm on Triangular Fuzzy Numbers," Fuzzy Systems and Knowledge Discovery, Fourth International Conference on, vol. 3, pp. 12-16, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/FSKD.2009.554, author = {Rong Lan and Jiu-lun Fan}, title = {A Fuzzy C-means Type Clustering Algorithm on Triangular Fuzzy Numbers}, journal ={Fuzzy Systems and Knowledge Discovery, Fourth International Conference on}, volume = {3}, year = {2009}, isbn = {978-0-7695-3735-1}, pages = {12-16}, doi = {http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.554}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Fuzzy Systems and Knowledge Discovery, Fourth International Conference on TI - A Fuzzy C-means Type Clustering Algorithm on Triangular Fuzzy Numbers SN - 978-0-7695-3735-1 SP12 EP16 A1 - Rong Lan, A1 - Jiu-lun Fan, PY - 2009 KW - Fuzzy data KW - Fuzzy c-means clustering KW - Triangular fuzzy number VL - 3 JA - Fuzzy Systems and Knowledge Discovery, Fourth International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.554
Fuzzy number type data is a typical class of fuzzy data, and it can be regarded as a general form of the interval data and the crisp data. This paper studies fuzzy clustering algorithm for triangular fuzzy numbers. First of all, we give a novel distance between triangular fuzzy numbers by using three parameters interval number, and prove that the proposed distance is a complete metric on the set of triangular fuzzy numbers. And then, based on this novel distance, we propose two fuzzy c-means type clustering algorithms for dealing with triangular fuzzy numbers. Finally, some numerical examples are provided to illustrate the algorithm’s effectiveness.
Index Terms:
Fuzzy data, Fuzzy c-means clustering, Triangular fuzzy number
Citation:
Rong Lan, Jiu-lun Fan, "A Fuzzy C-means Type Clustering Algorithm on Triangular Fuzzy Numbers," fskd, vol. 3, pp.12-16, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
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