Approximation aspects of fuzzy models

[1]  María Angeles Gil,et al.  Fundamentals and Bayesian analyses of decision problems with fuzzy-valued utilities , 1996, Int. J. Approx. Reason..

[2]  G. C. Mouzouris,et al.  Designing fuzzy logic systems for uncertain environments using a singular-value-QR decomposition method , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[3]  Didier Dubois,et al.  Coherence of fuzzy knowledge bases , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[4]  J. Yen,et al.  An SVD-based fuzzy model reduction strategy , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[5]  Dionís Boixader,et al.  CRI as approximate reasoning tool: an analysis via T-indistinguishability operators , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[6]  J. Buckley,et al.  Backpropagation and genetic algorithms for training fuzzy neural nets , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[7]  Esfandiar Eslami,et al.  Fuzzy Neural Networks: Capabilities , 1996 .

[8]  Dr. Hans Hellendoorn,et al.  An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.

[9]  Stephen S. Woo,et al.  A continuous fuzzy Petri net tool for intelligent process monitoring and control , 1995, IEEE Trans. Control. Syst. Technol..

[10]  Henri Prade,et al.  Similarity-based Consequence Relations , 1995, ECSQARU.

[11]  O. Maimon,et al.  Fuzzy systems approximation by frames-SISO case , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[12]  D. Ralescu,et al.  Fuzzy random variables revisited , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[13]  J. Mendel.  Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[14]  T H Feuring,et al.  FUZZY NEURAL NETWORKS ARE UNIVERSAL APPROXIMATORS , 1995 .

[15]  Guanrong Chen,et al.  Some necessary conditions for single-input single-output fuzzy systems as universal approximators , 1994, NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intellige.

[16]  MengChu Zhou,et al.  Petri nets and industrial applications: A tutorial , 1994, IEEE Trans. Ind. Electron..

[17]  J. J. Buckley,et al.  Hybrid fuzzy neural nets are universal approximators , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[18]  G. C. Mouzouris,et al.  Non-singleton fuzzy logic systems , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[19]  L. Godo,et al.  On similarity logic and the generalized modus ponens , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[20]  Senén Barro,et al.  Fuzzy reasoning supported by Petri nets , 1994, IEEE Trans. Fuzzy Syst..

[21]  Barbara Hayes-Roth,et al.  Intelligent Control , 1994, Artif. Intell..

[22]  Miin-Shen Yang.  On a class of fuzzy classification maximum likelihood procedures , 1993 .

[23]  Jihong Lee,et al.  Analysis on function duplicating capabilities of fuzzy controllers , 1993 .

[24]  G.J. Vachtsevanos,et al.  Fuzzy logic control of an automotive engine , 1993, IEEE Control Systems.

[25]  F. Klawonn,et al.  Fuzzy control as interpolation on the basis of equality relations , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[26]  Henri Prade,et al.  Fuzzy sets and probability: misunderstandings, bridges and gaps , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[27]  James C. Bezdek,et al.  Fuzzy models—What are they, and why? [Editorial] , 1993, IEEE Transactions on Fuzzy Systems.

[28]  Phil Diamond,et al.  Least Squares Methods in Fuzzy Data Analysis , 1993 .

[29]  Mila Stojakovic,et al.  Fuzzy conditional expectation , 1992 .

[30]  Eiichiro Tazaki,et al.  A fuzzy Petri net model for approximate reasoning and its application to medical diagnosis , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

[31]  S. Frühwirth-Schnatter.  On statistically inference for fuzzy data with applications to descriptive statistics , 1992 .

[32]  L X Wang,et al.  Fuzzy basis functions, universal approximation, and orthogonal least-squares learning , 1992, IEEE Trans. Neural Networks.

[33]  Hans Bandemer,et al.  Fuzzy Data Analysis , 1992 .

[34]  Bart Kosko,et al.  Fuzzy function approximation , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[35]  James J. Buckley,et al.  On the equivalence of neural networks and fuzzy expert systems , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[36]  James J. Buckley,et al.  Fuzzy expert systems versus neural networks , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[37]  Arthur C. Sanderson,et al.  Sensor-based error recovery for robotic task sequences using fuzzy Petri nets , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[38]  Andrew C. Singer,et al.  Codebook prediction: a nonlinear signal modeling paradigm , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[39]  L. Wang,et al.  Fuzzy systems are universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[40]  S. Barro,et al.  Compacting rules for fuzzy production system computation , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[41]  B. Kosko.  Fuzzy systems as universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[42]  Chin-Teng Lin,et al.  Neural-Network-Based Fuzzy Logic Control and Decision System , 1991, IEEE Trans. Computers.

[43]  Hung T. Nguyen,et al.  On the Scoring Approach to Admissibility of Uncertainty Measures in Expert Systems , 1991 .

[44]  S. Chiu,et al.  Fuzzy logic for control of roll and moment for a flexible wing aircraft , 1991, IEEE Control Systems.

[45]  S. Weber.  Uncertainty measures, decomposability and admissibility , 1991 .

[46]  S. Ovchinnikov.  Similarity relations, fuzzy partitions, and fuzzy orderings , 1991 .

[47]  J. Friedman.  Multivariate adaptive regression splines , 1990 .

[48]  Shang-Liang Chen,et al.  Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.

[49]  Zhenyuan Wang,et al.  Fuzzy linear regression analysis of fuzzy valued variables , 1990 .

[50]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[51]  John Moody,et al.  Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.

[52]  Tadao Murata,et al.  Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[53]  María Ángeles Gil,et al.  On the loss of information due to fuzziness in experimental observations , 1988 .

[54]  Masaharu Mizumoto,et al.  Fuzzy controls under various fuzzy reasoning methods , 1988, Inf. Sci..

[55]  R. Zwick,et al.  Fuzzy Random Variables , 1988 .

[56]  M. A. Gil,et al.  Fuzziness and loss of information in statistical problems , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[57]  Yong-Zai Lu,et al.  Fuzzy Model Identification and Self-Learning for Dynamic Systems , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[58]  James J. Buckley,et al.  A Parallel Rule Firing Fuzzy Production System with Resolution of Memory Conflicts by Weak Fuzzy Monotonicity, Applied to the Classification of Multiple Objects Characterized by Multiple Uncertain Features , 1987, Int. J. Man Mach. Stud..

[59]  David Lindley,et al.  The Probability Approach to the Treatment of Uncertainty in Artificial Intelligence and Expert Systems , 1987 .

[60]  G. Stewart.  Collinearity and Least Squares Regression , 1987 .

[61]  Reinhard Viertl,et al.  Is it Necessary to Develop a Fuzzy Bayesian Inference , 1987 .

[62]  James J. Buckley,et al.  A fuzzy expert system , 1986 .

[63]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[64]  Michio Sugeno,et al.  Fuzzy Control of Model Car , 1985 .

[65]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[66]  L. Valverde,et al.  An Inquiry into Indistinguishability Operators , 1984 .

[67]  David Lindley.  Scoring rules and the inevitability of probability , 1982 .

[68]  E. H. Mamdani,et al.  Advances in the linguistic synthesis of fuzzy controllers , 1976 .

[69]  Eugene S. Santos,et al.  Context-Free Fuzzy Languages , 1974, Inf. Control..

[70]  J. Dunn.  A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .

[71]  A. Scott,et al.  Clustering methods based on likelihood ratio criteria. , 1971 .

[72]  L. L. Cam,et al.  Sufficiency and Approximate Sufficiency , 1964 .

[73]  Howard Raiffa,et al.  Applied Statistical Decision Theory. , 1961 .

[74]  D. Blackwell.  Equivalent Comparisons of Experiments , 1953 .