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    Nhan đề: 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 /
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Tác giả CN Pham Dinh Phong
Nhan đề 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
Mô tả vật lý 14 p.
Tóm tắt 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.
Từ khóa tự do Hedge algebras
Từ khóa tự do Feature selection
Từ khóa tự do Fuzzy classification system
Từ khóa tự do High-dimensional dataset
Nguồn trích Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics 2015P. 171-184 Số: 2 Tập: 31
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100 |aPham Dinh Phong
245 |a1. An Application Of Feature Selection For The Fuzzy Rule Based Classifier Design With The Order Based Semantics Of Linguistic Terms For High—Dimensional Datasets / |cPham Dinh Phong
300 |a14 p.
520 |aThis 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.
653 |aHedge algebras
653 |aFeature selection
653 |aFuzzy classification system
653 |aHigh-dimensional dataset
773 |tTạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics |d2015|gP. 171-184|v31|i2
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