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Ang KK, Quek C (2005) RSPOP: rough set-based pseudo outer-product fuzzy rule identification algorithm. Neural Comput 17:205-43 [PubMed]

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 IEEE Trans Systems Man Cybern Part B 30:491-500

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 Trans Syst Man Cybern B Cybern 33:838-49 [Journal] [PubMed]

Ang KK, Quek C, Wahab A (2002) MCMAC-cVT: a novel on-line associative memory based CVT transmission control system. Neural Netw 15:219-36 [PubMed]

Buckley JJ, Hayashi Y (1994) Fuzzy neural networks: A survey Fuzzy Sets And Systems 66:1-13

Buckley JJ, Hayashi Y (1995) Neural nets for fuzzy systems Fuzzy Sets And Systems 71:265-276

Casillas J, Cordon O, Herrera F, Magdalena L (2003) Interpretability issues in fuzzy modeling

Castro JL (1995) Fuzzy logic controllers are universal approximators IEEE Trans Systems Man Cybern 25:629-635

Chakraborty D, Pal NR (2004) A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. IEEE Trans Neural Netw 15:110-23 [Journal] [PubMed]

Chiu SL (1994) Fuzzy model identification based on cluster estimation J Intelligent And Fuzzy Systems 2:267-278

Curry B (2003) Rough sets: Current and future developments Expert Systems 20:247-250

Guillaume S (2001) Designing fuzzy inference systems from data: An interpretability-oriented review IEEE Transactions On Fuzzy Systems 9:426-443

Han JW, Kamber M (2001) Data mining: Concepts and techniques

Hayashi I, Nomura H, Yamasaki H, Wakami N (1992) Construction of fuzzy inference rules by NDF and NDFL International Journal Of Approximate Reasoning 6:241-266

Hebb DO (1949) The Organization Of Behavior

Ishibuchi H, Tanaka H, Okada H (1994) Interpolation of fuzzy if-then rules by neural networks International Journal Of Approximate Reasoning 10:3-27

Jang JSR (1993) ANFIS: Adaptive-network-based fuzzy inference system IEEE Trans Systems Man Cybern 23:665-685

Jin Y (2000) Fuzzy modeling of high-dimensional systems: Complexity reduction IEEE Transactions On Fuzzy Systems 8:212-221

Johansen TA, Babuka R (2003) Multiobjective identification of Takagi-Sugeno fuzzy models IEEE Trans on Fuzzy Systems 11:847-860

Kasabov N (2001) Evolving fuzzy neural networks for supervised-unsupervised online IEEE Trans Systems Man Cybern Part B 31:902-918

Kasabov NK, Song Q (2002) DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction IEEE Transactions On Fuzzy Systems 10:144-154

Kaynak O, Jezernik K, Szeghegyi A (2002) Complexity reduction of rule based models: A survey Fuzzy Systems, 2002. FUZZ-IEEE02. Proceedings of the 2002 IEEE International Conference 2:1216-1221

Kohonen T (1989) Self-organisation and Associative Memory 3rd ed

Lin CT, Lee CSG (1991) Neural-network-based fuzzy logic control and decision system IEEE Transactions On Computers 40:1320-1336

Lin CT, Lee CSG (1996) Neural fuzzy systems: A neuro-fuzzy synergism to intelligent systems

Lin TY, Cercone N (1997) Rough sets and data mining: Analysis of imprecise data

Lozowski A, Cholewo TJ, Zurada JM (1996) Crisp rule extraction from perceptron network classifiers Proceedings of International Conference on Neural Networks :94-99

Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller International Journal Of Man-machine Studies 7:1-13

Mitra S, Hayashi Y (2000) Neuro-fuzzy rule generation: survey in soft computing framework. IEEE Trans Neural Netw 11:748-68 [Journal] [PubMed]

Moser B (1999) Sugeno controllers with a bounded number of rules are nowhere dense Fuzzy Sets and Systems 104:269-277

Nakanishi H, Turksen IB, Sugeno M (1993) A review and comparison of six reasoning methods Fuzzy Sets And Systems 57:257-294

Nauck D, Klawonn F, Kruse R (1997) Foundations of neuro-fuzzy systems

Nauck DD (2003) Measuring interpretability in rule-based classification systems Fuzzy Systems, 2003. FUZZ 03. 12th IEEE International Conference 1:196-201

Pal NR, Pal T (1999) On rule pruning using fuzzy neural networks Fuzzy Sets And Systems 106:335-347

Pasquier M, Quek C, Toh M (2001) Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles. Neural Netw 14:1099-112 [PubMed]

Pawlak Z (1991) Rough sets: Theoretical aspects of reasoning about data

Que C, Tan KB, Sagar VK (2001) Pseudo-outer product based fuzzy neural network fingerprint verification system. Neural Netw 14:305-23 [PubMed]

Quek C, Zhou RW (1996) POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network. Neural Netw 9:1569-1581 [PubMed]

Quek C, Zhou RW (1999) POPFNN-AAR(S): a pseudo outer-product based fuzzy neural network. IEEE Trans Syst Man Cybern B Cybern 29:859-70 [Journal] [PubMed]

Quek C, Zhou RW (2001) The POP learning algorithms: reducing work in identifying fuzzy rules. Neural Netw 14:1431-45 [PubMed]

Quek C, Zhou RW (2002) Antiforgery: A novel pseudo-outer product based fuzzy neural network driven signature verification system Pattern Recognition Letters 23:1795-1816

Shann JJ, Fu HC (1995) A fuzzy neural network for rule acquiring on fuzzy control systems Fuzzy Sets And Systems 71:345-357

Shen Q, Chouchoulas A (1999) Combining rough sets and data-driven fuzzy learning for generation of classification rules Pattern Recognition 32:2073-2076

Shen Q, Chouchoulas A (2002) A rough-fuzzy approach for generating classification rules Pattern Recognition 35:2425-2438

Sugeno M, Kang GT (1988) Structure identification of fuzzy model Fuzzy Sets And Systems 28:15-33

Sugeno M, Yasukawa T (1993) A fuzzy-logic-based approach to qualitative modeling IEEE Transactions On Fuzzy Systems 1:7

Swiniarski RW, Skowron A (2003) Rough set methods in feature selection and recognition Pattern Recognition Letters 24:833-849

Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control IEEE Trans Systems Man Cybern 15:116-132

Tan GK (1997) Feasibility of predicting congestion states with neural network models Unpublished final year project report

Tikk D, Baranyi P (2003) Exact trade-off between approximation accuracy and interpretability: Solving the saturation problem for certain FRBSs Interpretability issues in fuzzy modeling, Casillas J:Cordon O:Herrera F:Madalena L, ed. pp.587

Tikk D, Koczy LT, Gedeon TD (2003) A survey on universal approximation and its limits in soft computing techniques International Journal Of Approximate Reasoning 33:185-202

Tung WL, Quek C (2002) DIC: A novel discrete incremental clustering technique for the derivation of fuzzy membership functions Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence :178-187

Tung WL, Quek C (2002) GenSoFNN: A generic self-organizing fuzzy neural network. IEEE Transactions on Neural Networks, 13(5), 1075-1086 IEEE Trans Neural Networks 13:1075-1086

Tung WL, Quek C (2004) Supervised learning in neural fuzzy systems (Part 2)-BackPole: A back propagation algorithm based on objective learning errors Manuscript submitted for publication

Yager RR (1994) Modeling and formulating fuzzy knowledge bases using neural networks Neural Netw 7:1273-1283

Yen J, Wang L, Gillespie CW (1998) Improving the interpretability of TSK fuzzy models by combining global learning and local learning IEEE Trans Fuzzy Systems 6:530-537

Ying H, Ding Y, Li S, Shao S (1999) Comparison of necessary conditions for typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators IEEE Trans Systems Man Cybern Part A 29:508-514

Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Information Science 8:199-249

Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-II Information Science 8:301-357

Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-III Information Science 9:43-80

Zadeh LA (1994) Fuzzy logic, neural networks, and soft computing Communications Of The ACM

Liu F, Quek C, Ng GS (2007) A novel generic hebbian ordering-based fuzzy rule base reduction approach to mamdani neuro-fuzzy system. Neural Comput 19:1656-80 [Journal] [PubMed]

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