Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Learning fuzzy inference systems using an adaptive membership function scheme
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Matrix formulation of fuzzy rule-based systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
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In this paper, we have introduced a noninteractive model for fuzzy rule-based systems. A critical aspect of this noninteractive model is the introduction of a new set of rules with fewer parameters and without considering the interaction between the functionality of inputs. The new noninteractive model of the fuzzy rule-based system represents the output as a linear combination of the nonlinear function of individual inputs.