Journal Contributions: Published

Jump to Year:   2007  2006  2005  2004  2003  2002  2001  2000  1998

2007
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	H. Ishibuchi, Y. Nojima. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. International Journal of Approximate Reasoning 44:1 (2007) 4-31			bib
	E. Van Broekhoven, V. Adriaenssens, B. De Baets. Interpretability-preserving genetic optimization of linguistic terms in fuzzy models for fuzzy ordered classification: An ecological case study. International Journal of Approximate Reasoning 44:1 (2007) 65-90			bib
2006
	K.H. Quah, C. Quek. FITSK: online local learning with generic fuzzy input Takagi-Sugeno-Kang fuzzy framework for nonlinear system estimation. IEEE Transactions on Systems, Man and Cybernetics, Part B 36:1 (2006) 166-178			bib
	S.M. Zhou, J.Q. Gan. Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. Fuzzy Sets and Systems 157:8 (2006) 1057-1074			bib
2005
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	L.J. Herrera, H. Pomares, I. Rojas, O. Valenzuela, A. Prieto. TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy. Fuzzy Sets and Systems 153:3 (2005) 403-427			bib
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	H. Wang, S. Kwong, Y.C. Jin, W. Wei, K.F. Man. Multi-objective hierarchical genetic algorithm for interpretable fuzzy. Fuzzy Sets and Systems 149:1 (2005) 149-186			bib
	H. Wang, S. Kwong, J. Yaochu, W. Wei, K.F. Man. Agent-based evolutionary approach for interpretable rule-based knowledge extraction. IEEE Transactions on Systems, Man and Cybernetics, Part C 35:2 (2005) 143-155			bib
2004
	P. Carmona, J.L. Castro, J.M. Zurita. Learning maximal structure fuzzy rules with exceptions. Fuzzy Sets and Systems 146:1 (2004) 63-77			bib
	P. Carmona, J.L. Castro, J.M. Zurita. FRIwE: fuzzy rule identification with exceptions. IEEE Transactions on Fuzzy Systems 12:1 (2004) 140-151			bib
	M.Y. Chen, D.A. Linkens. Rule-base self-generation and simplification for data-driven fuzzy models. Fuzzy Sets and Systems 142:2 (2004) 243-265			bib
	S. Guillaume, B. Charnomordic. Generating an interpretable family of fuzzy partitions from data. IEEE Transactions on Fuzzy Systems 12:3 (2004) 324-335			bib
	S.Y. Ho, H.M. Chen, S.J. Ho, T.K. Chen. Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space. IEEE Transactions on Systems, Man and Cybernetics, Part B 34:2 (2004) 1031-1044			bib
	M. Jamei, M. Mahfouf, D.A. Linkens. Elicitation and fine-tuning of fuzzy control rules using symbiotic evolution. Fuzzy Sets and Systems 147:1 (2004) 57-74			bib
	K. Maertens, T.A. Johansen, R. Babuska. Engine load prediction in off-road vehicles using multi-objective nonlinear identification. Control Engineering Practice 12:5 (2004) 615-624			bib
	R.P. Paiva, A. Dourado. Interpretability and learning in neuro-fuzzy systems. Fuzzy Sets and Systems 147:1 (2004) 17-38			bib
	W. Pedrycz. Heterogeneous fuzzy logic networks: fundamentals and development studies. IEEE Transactions on Neural Networks 15:6 (2004) 1466-1481			bib
	L.P. Tan, A. Lotfi, E. Lai, J.B. Hull. Soft computing applications in dynamic model identification of polymer extrusion process. Applied Soft Computing 4:4 (2004) 345-355			bib
2003
	J. Abonyi, F. Szeifert. Supervised fuzzy clustering for the identification of fuzzy classifiers. Pattern Recognition Letters 24:14 (2003) 2195-2207			bib
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	R. Babuska, H. Verbruggen. Neuro-fuzzy methods for nonlinear system identification. Annual Reviews in Control 27:1 (2003) 73-85			bib
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	M. Drobics, U. Bodenhofer, E.P. Klement. FS-FOIL: an inductive learning method for extracting interpretable fuzzy descriptions. International Journal of Approximate Reasoning 32:2-3 (2003) 131-152			bib
	D.D. Nauck. Fuzzy data analysis with NEFCLASS. International Journal of Approximate Reasoning 32:2-3 (2003) 103-130			bib
	J.A. Roubos, M. Setnes, J. Abonyi. Learning fuzzy classification rules from labeled data. Information Sciences 150:1-2 (2003) 77-93			bib
	T. Sudkamp, A. Knapp, J. Knapp. Model generation by domain refinement and rule reduction. IEEE Transactions on Systems, Man and Cybernetics, Part B 33:1 (2003) 45-55			bib
2002
	G. Bortolan, W. Pedrycz. Fuzzy descriptive models: an interactive framework of information granulation [ECG data]. IEEE Transactions on Fuzzy Systems 10:6 (2002) 743-755			bib
	G. Castellano, A.M. Fanelli, C. Mencar. A neuro-fuzzy network to generate human-understandable knowledge from data. Cognitive Systems Research 3:2 (2002) 125-144			bib
	F.J. de Souza, M.M.R. Vellasco, M.A.C. Pacheco. Hierarchical neuro-fuzzy quadtree models. Fuzzy Sets and Systems 130:2 (2002) 189-205			bib
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2001
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	S. Guillaume. Designing fuzzy inference systems from data: An interpretability-oriented review. IEEE Transactions on Fuzzy Systems 9:3 (2001) 426-443			bib
	A. Krone, H. Taeger. Data-based fuzzy rule test for fuzzy modelling. Fuzzy Sets and Systems 123:3 (2001) 343-358			bib
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	T. Suzuki, T. Kodama, T. Furuhashi, H. Tsut. Fuzzy modeling using genetic algorithms with fuzzy entropy as conciseness measure. Information Sciences 136:1-4 (2001) 53-67			bib
2000
	Y.C. Jin. Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems 8:2 (2000) 212-221			bib
	R. Silipo, M.R. Berthold. Input features impact on fuzzy decision processes. IEEE Transactions on Systems, Man and Cybernetics, Part B 30:6 (2000) 821-834			bib
1998
	M. Setnes, R. Babuska, H. Verbruggen. Complexity reduction in fuzzy modeling. Mathematics and Computers in Simulation 46:5-6 (1998) 507-516			bib
	M. Setnes, R. Babuska, H. Verbruggen. Rule-based modeling: precision and transparency. IEEE Transactions on Systems, Man and Cybernetics, Part C 28:1 (1998) 165-169			bib
	J. Yen, L. Wang, C.W. Gillespie. Improving the interpretability of TSK fuzzy models by combining global learning and local learning. IEEE Transactions on Fuzzy Systems 6:4 (1998) 530-537			bib

 Conference Contributions

Jump to Year:   2004  2003  2002  2001  2000  1999  1998  1997  1996

2004
	J. Casillas, M. Mucientes. Obtaining a fuzzy controller with high interpretability in mobile robots navigation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004). Budapest (Hungary, 2004) 1637-1642			bib
	C. Moraga. A metasemantics to refine fuzzy if-then rules. 34th International Symposium on Multiple-Valued Logic (ISMVL 2004). Toronto (Canada, 2004) 148-153			bib
	S.M. Zhou, J.Q. Gan. Improving the interpretability of takagi-sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme. IEEE International Joint Conference on Neural Networks (IJCNN04). Budapest (Hungary, 2004) 2385-2390			bib
2003
	S. Chang, S. Greenberg. Syllable-proximity evaluation in automatic speech recognition using fuzzy measures and a fuzzy integral. 12th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'03). St Louis (USA, 2003) 828-833			bib
	S.R. Cuesta, I. Diaz, A.A. Cuadrado, A.B. Diez. A visual approach for fuzzy rule induction. IEEE Conference Emerging Technologies and Factory Automation (ETFA'03). Lisbon (Portugal, 2003) 761-767			bib
	D.D. Nauck. Measuring interpretability in rule-based classification systems. The 12th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'03). St Louis (USA, 2003) 196-201			bib
	S. Nefti, K. Djouani. Extended fuzzy clustering algorithm based on an inclusion concept. 12th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'03). St Louis (USA, 2003) 869-874			bib
2002
	J.F.M. Amaral, R. Tanscheit, M.A.C. Pacheco, M.M.R. Vellasco. Evolutionary fuzzy system design and implementation. 9th International Conference on Neural Information Processing (ICONIP '02). (Singapore, 2002) 1872-1876			bib
	U. Bodenhofer. Application perspectives of fuzzy orderings. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'02). Honolulu (USA, 2002) 1357-1362			bib
	M.R. Delgado, F. Von Zuben, F. Gomide. Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems. 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'02). Honolulu (USA, 2002) 1222-1227			bib
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	O. Kaynak, K. Jezernik, A. Szeghegvi. Complexity reduction of rule based models: a survey. IEEE International Conference on Fuzzy Systems ( FUZZ-IEEE'02). Honolulu (USA, 2002) 1216-1221			bib
	Q. Shen, J.G. Marin-Blazquez. Microtuning of membership functions: accuracy vs. interpretability. 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'02). Honolulu (USA, 2002) 168-173			bib
2001
	P. Angelov, R. Buswell. Evolving rule-based models: A tool for intelligent adaptation. Joint 9th IFSA World Congress and 20th NAFIPS International Conference. Vancouver (Canada, 2001) 1062-1067			bib
	M.R. Berthold. Subsampling conflicts to construct better fuzzy rules. Joint 9th IFSA World Congress and 20th NAFIPS International Conference. Vancouver (Canada, 2001) 1098-1103			bib
	M.Y. Chen, D.A. Linkens. A systematic method for fuzzy modeling from numerical data. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC '01). Tucson (USA, 2001) 28-33			bib
	T. Furuhashi, T. Suzuki. On interpretability of fuzzy models based on conciseness measure. The 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'01). Melbourne (Australia, 2001) 284-287			bib
	S. Guillaume, B. Charnomordic, A. Titli. A distance metric suitable for fuzzy partitioning. 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'01). Melbourne (Australia, 2001) 264-267			bib
2000
	G. Castellano, A.M. Fanelli. A staged approach for generation and compression of fuzzy classification rules. Ninth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000). San Antonio (USA, 2000) 42-47			bib
	F. Hoppner, F. Klawonn. Obtaining interpretable fuzzy models from fuzzy clustering and fuzzy regression. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (KES00). Brighton (UK, 2000) 162-165			bib
1999
	H. Ishibuchi, T. Nakashima. Genetic-algorithm-based approach to linguistic approximation of nonlinear functions with many input variables. 1999 IEEE International Fuzzy Systems Conference ( FUZZ-IEEE '99). Seoul (Korea, 1999) 779-784			bib
	R. Kowalczyk. On numerical and linguistic quantification in linguistic approximation. IEEE International Conference on Systems, Man, and Cybernetics ( IEEE SMC '99). Tokyo (Japan, 1999) 326-331			bib
1998
	P. Baranyi, S. Mizik, L.T. Koczy, T.D. Gedeon, I. Nagy. Fuzzy rule base interpolation based on semantic revision. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC '98). San Diego (USA, 1998) 1306-1311			bib
1997
	G.V. Tan, X. Hu. More on designing fuzzy controllers using genetic algorithms: guided constrained optimisation. Sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE97). Barcelona (Spain, 1997) 497-502			bib
1996
	O. Nelles, M. Fischer, B. Muller. Fuzzy rule extraction by a genetic algorithm and constrained nonlinear optimization of membership functions. Fifth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 96). New Orleans (USA, 1996) 213-219			bib

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