Fuzzy Sets and Systems
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy strategies for urban traffic noise monitoring
Applications of fuzzy logic
Statistical and neural classifiers: an integrated approach to design
Statistical and neural classifiers: an integrated approach to design
Aggregation operators and additive generators
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on aggregation operators
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Foundations of Fuzzy Systems
Aggregation operators: properties, classes and construction methods
Aggregation operators
Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems
Fuzzy Sets and Systems
International Journal of Intelligent Systems
Affine TS-model-based fuzzy regulating/servo control design
Fuzzy Sets and Systems
Application of hybrid system control method for real-time power system stabilization
Fuzzy Sets and Systems
International Journal of Approximate Reasoning
Mixed H$_2$/H$_&infty;$ region-based fuzzy controller design for continuous-time fuzzy systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Development of a neuro-fuzzy controller for a steam generation plant using fuzzy cluster analysis
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Using fuzzy control to maximize profits in service level management
IBM Systems Journal
Neural-network-based optimal fuzzy controller design for nonlinear systems
Fuzzy Sets and Systems
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
Fuzzy relational neural network
International Journal of Approximate Reasoning
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems
Logic-Based Fuzzy Neurocomputing With Unineurons
IEEE Transactions on Fuzzy Systems
Retraction and Generalized Extension of Computing With Words
IEEE Transactions on Fuzzy Systems
Knowledge acquisition based on learning of maximal structure fuzzy rules
Knowledge-Based Systems
Statistical analysis of parametric t-norms
Information Sciences: an International Journal
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The application of conjunctive aggregation functions in fuzzy control systems with n inputs is discussed, and the effect of the choice of a continuous t-norm in the inference phase for Takagi–Sugeno–Kang (TSK) systems is computed. A continuous t-norm modeling AND connective in antecedent part of fuzzy rules can be reduced just to strict or nilpotent t-norm. The isomorphism of strict (nilpotent) t-norms enables simpler fitting of TSK fuzzy system parameters and reduces the computational complexity. Similar principle can also be used in the case of some noncommutative conjunctive aggregation functions modeling AND connective. The effect of the choice of a continuous t-norm is then evaluated on well-known case studies in fuzzy control, the Sinc function, and the urban traffic noise control system. © 2012 Wiley Periodicals, Inc.