Robust, interpretable and high quality fuzzy rule discovery using krill herd algorithm
作者： Ali Mohammadi Shanghooshabad , Mohammad Saniee Abadeh
DOI: 10.3233/IFS-151867
关键词:
摘要:
sci-hub.se 参考文章(31)
David E. Goldberg, Brad L. Miller, Genetic Algorithms, Tournament Selection, and the Effects of Noise. Complex Systems. ,vol. 9, ,(1995)
Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu, A Genetic Algorithm for Text Classification Rule Induction european conference on machine learning. ,vol. 5212, pp. 188- 203 ,(2008) , 10.1007/978-3-540-87481-2_13
Amir Hossein Gandomi, Amir Hossein Alavi, None, Krill herd: A new bio-inspired optimization algorithm Communications in Nonlinear Science and Numerical Simulation. ,vol. 17, pp. 4831- 4845 ,(2012) , 10.1016/J.CNSNS.2012.05.010
C.J. Carmona, C. Chrysostomou, H. Seker, M.J. del Jesus, Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm Applied Soft Computing. ,vol. 13, pp. 3439- 3448 ,(2013) , 10.1016/J.ASOC.2013.04.011
Hisao Ishibuchi, Tadahiko Murata, I.B Türkşen, Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems Fuzzy Sets and Systems. ,vol. 89, pp. 135- 150 ,(1997) , 10.1016/S0165-0114(96)00098-X
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers Information Sciences. ,vol. 283, pp. 36- 54 ,(2014) , 10.1016/J.INS.2014.06.014
Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, Three objective genetics-based machine learning for linguisitc rule extraction Information Sciences. ,vol. 136, pp. 109- 133 ,(2001) , 10.1016/S0020-0255(01)00144-X
Kaveh Khalili-Damghani, Soheil Sadi-Nezhad, Farhad Hosseinzadeh Lotfi, Madjid Tavana, A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection Information Sciences. ,vol. 220, pp. 442- 462 ,(2013) , 10.1016/J.INS.2012.07.024
Hisao Ishibuchi, Yusuke Nojima, Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning International Journal of Approximate Reasoning. ,vol. 44, pp. 4- 31 ,(2007) , 10.1016/J.IJAR.2006.01.004
Luciano Sánchez, Inés Couso, J.A. Corrales, Combining GP operators with SA search to evolve fuzzy rule based classifiers Information Sciences. ,vol. 136, pp. 175- 191 ,(2001) , 10.1016/S0020-0255(01)00146-3