A new approach to inference in approximate reasoning
Fuzzy Sets and Systems
Propagation of uncertainty and imprecision in knowledge-based systems
Fuzzy Sets and Systems
Trapezoidal approximations of fuzzy numbers---revisited
Fuzzy Sets and Systems
Induction motor drive using fuzzy logic
ISTASC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Systems Theory and Scientific Computation - Volume 7
Optimization of mine machine modes of operation on the basis of fuzzy logic technology
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Modelling of rough-fuzzy classifier
WSEAS TRANSACTIONS on SYSTEMS
Optimal adaptive fuzzy control for a class of unknown nonlinear systems
WSEAS Transactions on Systems and Control
Classification model based on rough and fuzzy sets theory
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
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Using Generalized Modus Ponens reasoning, we examine the values of the inferred conclusion by using Fodor's implication in order to interpret a fuzzy if-then rule with a single input single output and the t-norm t(x,y)=max((1+λ)(x+y-1)-λxy)-λ≥-1, for composition operation. This t-norm is important to use because for λ=-1 and λ=0 it gives the commonly used t-norms t1(x,y)=xy and t2(x,y)=max(0,x+y-1), respectively.