Ang KK, Quek C. (2005). RSPOP: rough set-based pseudo outer-product fuzzy rule identification algorithm. Neural computation. 17 [PubMed]
Ang KK, Quek C, Pasquier M. (2003). POPFNN-CRI(S): pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 33 [PubMed]
Banerjee M, Mitra S, Pal SK. (1998). Rough fuzzy MLP: knowledge encoding and classification. IEEE transactions on neural networks. 9 [PubMed]
Casillas J, Cordon O, Herrera F, Del_Jesus MJ. (2001). Genetic feature selection in a fuzzy rule-based classification system learning process for high dimensional problems Inform Sci. 136
Casillas J, Cordon O, Herrera F, Del_Jesus MJ. (2005). Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction IEEE Trans Fuzzy Systems. 13
Casillas J, Cordon O, Herrera F, Magdalena L. (2003). Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: An overview Interpretability issues in fuzzy modeling.
Castro JL. (1995). Fuzzy logic controllers are universal approximators IEEE Trans Systems Man Cybern. 25
Chakraborty D, Pal NR. (2004). A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. IEEE transactions on neural networks. 15 [PubMed]
Combs WE, Andrews JE. (1998). Combinatorial rule explosion eliminated by a fuzzy rule configuration IEEE Trans Fuzzy Systems. 6
Cordon O, Herrera F. (2000). A proposal for improving the accuracy of linguistic modeling IEEE Trans Fuzzy Systems. 8
Gonzalez A, Perez R. (1998). Completeness and consistency condictions for learning fuzzy rules Fuzzy Sets And Systems. 96
Gonzalez A, Perez R. (2001). Selection of relevant features in a fuzzy genetic learning algorithm. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 31 [PubMed]
Jang JSR. (1993). ANFIS: Adaptive-network-based fuzzy inference system IEEE Trans Systems Man Cybern. 23
Kasabov N. (2001). Evolving fuzzy neural networks for supervised-unsupervised online IEEE Trans Systems Man Cybern Part B. 31
Kasabov NK, Song Q. (2002). DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction IEEE Transactions On Fuzzy Systems. 10
Kohonen T. (1982). Self-organized formation of topology correct feature maps Biol Cybern. 43
Krone A, Kiendl H. (1994). Automatic generation of positive and negative rules for two-way fuzzy controllers Proc 2nd Euro Congress on Intel Tech Soft Comput.
Krone A, Taeger H. (2001). Data-based fuzzy rule test for fuzzy modeling Fuzzy Sets And Systems. 123
Lin CT, Juang CF. (1998). An online self-constructing neural fuzzy inference network and its applications IEEE Trans Fuzzy Systems. 6
Lin CT, Lee CSG. (1996). Neural fuzzy systems: A neuro-fuzzy synergism to intelligent systems.
Mamdani EH, Assilian S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller International Journal Of Man-machine Studies. 7
Mitra P, Pal SK, Mitra S. (2001). Evolutionary modular design of rough knowledge-based network using fuzzy attributes Neurocomputing. 36
Mitra P, Pal SK, Mitra S. (2003). Rough fuzzy MLP: Modular evolution, rule generation and evaluation IEEE Trans Knowledge Data Engineering. 15
Mitra S, Hayashi Y. (2000). Neuro-fuzzy rule generation: survey in soft computing framework. IEEE transactions on neural networks. 11 [PubMed]
Nakanishi H, Turksen IB, Sugeno M. (1993). A review and comparison of six reasoning methods Fuzzy Sets And Systems. 57
Quek C, Tung WL. (2002). GenSoFNN: A generic self-organizing fuzzy neural network. IEEE Transactions on Neural Networks, 13(5), 1075-1086 IEEE Trans Neural Networks. 13
Quek C, Zhou RW. (1999). POPFNN-AAR(S): a pseudo outer-product based fuzzy neural network. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 29 [PubMed]
Setnes M, Babuska R. (2001). Rule base reduction: Some comments on the use of orthogonal transforms IEEE Trans Syst Man Cybern. 31
Setnes M, Babuska R, Kaymak U, van Nauta Lemke HR. (1998). Similarity measures in fuzzy rule base simplification. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 28 [PubMed]
Silipo R, Berthold MR. (2000). Input features' impact on fuzzy decision processes. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 30 [PubMed]
Sugeno M, Kang GT. (1988). Structure identification of fuzzy model Fuzzy Sets And Systems. 28
Sugeno M, Yasukawa T. (1993). A fuzzy-logic-based approach to qualitative modeling IEEE Transactions On Fuzzy Systems. 1
Takagi T, Sugeno M. (1985). Fuzzy identification of systems and its applications to modeling and control IEEE Trans Systems Man Cybern. 15
Tan GK. (1997). Feasibility of predicting congestion states with neural network models Unpublished final year project report.
Yen J, Wang L. (1999). Simplifying fuzzy rule-based models using orthogonal transformation methods. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 29 [PubMed]