Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers
Comparison of fuzzy reasoning methods
Fuzzy Sets and Systems
Approximating fuzzy control strategies via CRI
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Properties and relations between implication operators
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Fuzzy time series model incorporating predictor variables and interval partition
WSEAS Transactions on Mathematics
Novel approximate solving algorithm for fuzzy relational equations
Mathematical and Computer Modelling: An International Journal
A general frame for intuitionistic fuzzy rough sets
Information Sciences: an International Journal
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L.A. Zadeh first suggested a method of fuzzy reasoning called compositional rule of inference (CRI for short). Instead of sup-min composition we use a more general composition called sup-T composition in CRI. According to the criteria GMP and GMT, the fuzzy implication R must satisfy the sup-T composite fuzzy relational equations: Q@?R=S and S@?R^-^1=Q. In this paper, we discuss the solution of these equations and point out that sup-@? composition and the implication R"n"a used to CRI will be more suitable under criteria GMP and GMT.