## References and models cited by this paper | ## References and models that cite this paper | |

Ang KK, Quek C (2000) Improved MCMAC with momentum, neighborhood, and averaged 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. Ang KK, Quek C, Wahab A (2002) MCMAC-cVT: a novel on-line associative memory based CVT transmission control system. Buckley JJ, Hayashi Y (1994) Fuzzy neural networks: A survey Buckley JJ, Hayashi Y (1995) Neural nets for fuzzy systems Casillas J, Cordon O, Herrera F, Magdalena L (2003) Castro JL (1995) Fuzzy logic controllers are universal approximators Chakraborty D, Pal NR (2004) A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. Chiu SL (1994) Fuzzy model identification based on cluster estimation Curry B (2003) Rough sets: Current and future developments Guillaume S (2001) Designing fuzzy inference systems from data: An interpretability-oriented review Han JW, Kamber M (2001) Hayashi I, Nomura H, Yamasaki H, Wakami N (1992) Construction of fuzzy inference rules by NDF and NDFL Hebb DO (1949) Ishibuchi H, Tanaka H, Okada H (1994) Interpolation of fuzzy if-then rules by neural networks Jang JSR (1993) ANFIS: Adaptive-network-based fuzzy inference system Jin Y (2000) Fuzzy modeling of high-dimensional systems: Complexity reduction Johansen TA, Babuka R (2003) Multiobjective identification of Takagi-Sugeno fuzzy models Kasabov N (2001) Evolving fuzzy neural networks for supervised-unsupervised online Kasabov NK, Song Q (2002) DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction Kaynak O, Jezernik K, Szeghegyi A (2002) Complexity reduction of rule based models: A survey Kohonen T (1989) Lin CT, Lee CSG (1991) Neural-network-based fuzzy logic control and decision system Lin CT, Lee CSG (1996) Lin TY, Cercone N (1997) Lozowski A, Cholewo TJ, Zurada JM (1996) Crisp rule extraction from perceptron network classifiers Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller Mitra S, Hayashi Y (2000) Neuro-fuzzy rule generation: survey in soft computing framework. Moser B (1999) Sugeno controllers with a bounded number of rules are nowhere dense Nakanishi H, Turksen IB, Sugeno M (1993) A review and comparison of six reasoning methods Nauck D, Klawonn F, Kruse R (1997) Nauck DD (2003) Measuring interpretability in rule-based classification systems Pal NR, Pal T (1999) On rule pruning using fuzzy neural networks Pasquier M, Quek C, Toh M (2001) Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles. Pawlak Z (1991) Que C, Tan KB, Sagar VK (2001) Pseudo-outer product based fuzzy neural network fingerprint verification system. Quek C, Zhou RW (1996) POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network. Quek C, Zhou RW (1999) POPFNN-AAR(S): a pseudo outer-product based fuzzy neural network. Quek C, Zhou RW (2001) The POP learning algorithms: reducing work in identifying fuzzy rules. Quek C, Zhou RW (2002) Antiforgery: A novel pseudo-outer product based fuzzy neural network driven signature verification system Shann JJ, Fu HC (1995) A fuzzy neural network for rule acquiring on fuzzy control systems Shen Q, Chouchoulas A (1999) Combining rough sets and data-driven fuzzy learning for generation of classification rules Shen Q, Chouchoulas A (2002) A rough-fuzzy approach for generating classification rules Sugeno M, Kang GT (1988) Structure identification of fuzzy model Sugeno M, Yasukawa T (1993) A fuzzy-logic-based approach to qualitative modeling Swiniarski RW, Skowron A (2003) Rough set methods in feature selection and recognition Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control Tan GK (1997) Feasibility of predicting congestion states with neural network models Tikk D, Baranyi P (2003) Exact trade-off between approximation accuracy and interpretability: Solving the saturation problem for certain FRBSs Tikk D, Koczy LT, Gedeon TD (2003) A survey on universal approximation and its limits in soft computing techniques Tung WL, Quek C (2002) DIC: A novel discrete incremental clustering technique for the derivation of fuzzy membership functions Tung WL, Quek C (2002) GenSoFNN: A generic self-organizing fuzzy neural network. IEEE Transactions on Neural Networks, 13(5), 1075-1086
Tung WL, Quek C (2004) Supervised learning in neural fuzzy systems (Part 2)-BackPole: A back propagation algorithm based on objective learning errors Yager RR (1994) Modeling and formulating fuzzy knowledge bases using neural networks Yen J, Wang L, Gillespie CW (1998) Improving the interpretability of TSK fuzzy models by combining global learning and local learning Ying H, Ding Y, Li S, Shao S (1999) Comparison of necessary conditions for typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-II Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-III Zadeh LA (1994) Fuzzy logic, neural networks, and soft computing | Liu F, Quek C, Ng GS (2007) A novel generic hebbian ordering-based fuzzy rule base reduction approach to mamdani neuro-fuzzy system. |