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1. An Application Of Feature Selection For The Fuzzy Rule Based Classifier Design With The Order Based Semantics Of Linguistic Terms For High—Dimensional Datasets / Pham Dinh Phong // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2015. - P. 171-184. - ISSN:
14 p.
Ký hiệu phân loại (DDC): 005
This paper presents an approach to tackle the high-dimensional dataset problem for the hedge algebras based classification method proposed in N. C. Ho, D.T. Pedrycz, D. T. Long, and T. T. Son. “A genetic design of linguistic terms for fuzzy rule based classifiers." International Journal of Approximate Reasoning, vol. 54, no. 1. pp. 1 21, 2013 by utilizing the featureselection algorithm proposed in X. Sun, Y. Liu, M. Xu,H. Chen, J. Han, and K. Wang, “Feature selection using dynamic weightsfor classification," Knowledgr--Based Systems, vol. 37, pp. 541—549, 2013.Theproposed method is also compared with three classical classification methods based on the statisticaland probabilistic approaches showing that it is a robust classifier.
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