[1] |
崔彩霞.智能分类方法[M].北京:气象出版社,2009: 1-216.
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[2] |
CORTES C, VAPNIK V. Support-vector networks [J]. Machine Learning,1995,20(3): 273-297.
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[3] |
PAWLAK Z. Rough sets[J]. International Journal of Computer and Information Sciences,1982,11(5): 341-356.
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[4] |
ZADEH L A. Fuzzy sets [J]. Information and Control,1965,8(3): 338-353.
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[5] |
RISH I. An empirical study of the naive Bayes classifier[J]. Journal of Universal Computer Science, 2001,1(2): 41-46.
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[6] |
COVER T M, HART P E. Nearest neighbor pattern classification [J]. IEEE Transactions on Information Theory,1967,13(1):21-27.
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[7] |
DASARATHY B V. Nearest neighbor(NN) norms [A]// NN Pattern Classification Techniques. IEEE Computer Society,1991, 9: 1-30.
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[8] |
GUO N R, LI T H S. Construction of a neuron-fuzzy classification model based on feature-extraction approach [J]. Expert Systems with Applications,2011, 38(1): 682-691.
|
[9] |
CHI Z, YAN H, PHAM T. Fuzzy Algorithms with Applications to Image Processing and Pattern Recognition[M]. Singapore:World Scientific Publishing,2014.
|
[10] |
ISHIBUCHI H, NOZAKI K, TANAKA H. Distributed representation of fuzzy rules and its application to pattern classification [J]. Fuzzy Sets and Systems,1992,52(1):21-32.
|
[11] |
SUN C T. Rule-base structure identification in an adaptive-network based fuzzy inference system [J]. IEEE Transactions on Fuzzy Systems,1994,2(1):64-73.
|
[12] |
YANG J B, LIU J, WANG J, et al. Belief rule-base inference methodology using the evidential reasoning approach-RIMER [J]. IEEE Transactions on Systems, Man, and Cybernetics,2006,36(2):266-285.
|
[13] |
JIAO L M, PAN Q, DENOEUX T, et al. Belief rule-based classification system: extension of FRBCS in belief functions framework [J]. Information Sciences,2015,309:26-49.
|
[14] |
YANG J B, LIU J, XU D L, et al. Optimization models for training belief-rule-based systems [J]. IEEE Transactions on Systems, Man, and Cybernetics, 2007,37(4):569-585.
|
[15] |
CHANG L L, ZHOU Z H, YOU Y, et al. Belief rule based expert system for classification problems [J]. Information Sciences,2015,336:75-91.
|
[16] |
SUN R. Robust reasoning: Integrating rule-based and similarity-based reasoning [J]. Artificial Intelligence,1995,75(2):241-295.
|
[17] |
WANG Y M, YANG J B, XU D L. Environmental impact assessment using the evidential reasoning approach [J]. European Journal of Operational Research,2006,174(3):1885-1913.
|
[18] |
NOZAKI K, ISHIBUCHI H, TANAKA H. Adaptive fuzzy rule-based classification systems [J]. IEEE Transactions on Fuzzy Systems,1996,4(3):238-250.
|
[19] |
JOUSSELME A L, GRENIER D, BOSS . A new distance between two bodies of evidence[J]. Information Fusion,2001,2(2):91-101.
|
[20] |
FALLAHNEZHAD M, MORADI M H, ZAFERANLOUEI S. A hybrid higher order neural classifier for handling classification problems [J]. Expert Systems with Applications,2011,38(1):386-393.)
|
[1] |
崔彩霞.智能分类方法[M].北京:气象出版社,2009: 1-216.
|
[2] |
CORTES C, VAPNIK V. Support-vector networks [J]. Machine Learning,1995,20(3): 273-297.
|
[3] |
PAWLAK Z. Rough sets[J]. International Journal of Computer and Information Sciences,1982,11(5): 341-356.
|
[4] |
ZADEH L A. Fuzzy sets [J]. Information and Control,1965,8(3): 338-353.
|
[5] |
RISH I. An empirical study of the naive Bayes classifier[J]. Journal of Universal Computer Science, 2001,1(2): 41-46.
|
[6] |
COVER T M, HART P E. Nearest neighbor pattern classification [J]. IEEE Transactions on Information Theory,1967,13(1):21-27.
|
[7] |
DASARATHY B V. Nearest neighbor(NN) norms [A]// NN Pattern Classification Techniques. IEEE Computer Society,1991, 9: 1-30.
|
[8] |
GUO N R, LI T H S. Construction of a neuron-fuzzy classification model based on feature-extraction approach [J]. Expert Systems with Applications,2011, 38(1): 682-691.
|
[9] |
CHI Z, YAN H, PHAM T. Fuzzy Algorithms with Applications to Image Processing and Pattern Recognition[M]. Singapore:World Scientific Publishing,2014.
|
[10] |
ISHIBUCHI H, NOZAKI K, TANAKA H. Distributed representation of fuzzy rules and its application to pattern classification [J]. Fuzzy Sets and Systems,1992,52(1):21-32.
|
[11] |
SUN C T. Rule-base structure identification in an adaptive-network based fuzzy inference system [J]. IEEE Transactions on Fuzzy Systems,1994,2(1):64-73.
|
[12] |
YANG J B, LIU J, WANG J, et al. Belief rule-base inference methodology using the evidential reasoning approach-RIMER [J]. IEEE Transactions on Systems, Man, and Cybernetics,2006,36(2):266-285.
|
[13] |
JIAO L M, PAN Q, DENOEUX T, et al. Belief rule-based classification system: extension of FRBCS in belief functions framework [J]. Information Sciences,2015,309:26-49.
|
[14] |
YANG J B, LIU J, XU D L, et al. Optimization models for training belief-rule-based systems [J]. IEEE Transactions on Systems, Man, and Cybernetics, 2007,37(4):569-585.
|
[15] |
CHANG L L, ZHOU Z H, YOU Y, et al. Belief rule based expert system for classification problems [J]. Information Sciences,2015,336:75-91.
|
[16] |
SUN R. Robust reasoning: Integrating rule-based and similarity-based reasoning [J]. Artificial Intelligence,1995,75(2):241-295.
|
[17] |
WANG Y M, YANG J B, XU D L. Environmental impact assessment using the evidential reasoning approach [J]. European Journal of Operational Research,2006,174(3):1885-1913.
|
[18] |
NOZAKI K, ISHIBUCHI H, TANAKA H. Adaptive fuzzy rule-based classification systems [J]. IEEE Transactions on Fuzzy Systems,1996,4(3):238-250.
|
[19] |
JOUSSELME A L, GRENIER D, BOSS . A new distance between two bodies of evidence[J]. Information Fusion,2001,2(2):91-101.
|
[20] |
FALLAHNEZHAD M, MORADI M H, ZAFERANLOUEI S. A hybrid higher order neural classifier for handling classification problems [J]. Expert Systems with Applications,2011,38(1):386-393.)
|