Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy relational equations with generalized connectives and their applications
Fuzzy Sets and Systems
Correct models of fuzzy IF--THEN rules are continuous
Fuzzy Sets and Systems
An algorithm for solving fuzzy relation equations with max-T composition operator
Information Sciences: an International Journal
Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Solutions of composite fuzzy relational equations with triangular norms
Fuzzy Sets and Systems
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Consecutive identification of ANFIS-Based fuzzy systems with the aid of genetic data granulation
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Identification of fuzzy systems with the aid of genetic fuzzy granulation
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Novel approximate solving algorithm for fuzzy relational equations
Mathematical and Computer Modelling: An International Journal
Classification in a fuzzy environment
Pattern Recognition Letters
Rough-Set Reasoning About Uncertain Data
Fundamenta Informaticae
Hard partition-based non-fuzzy inference system for nonlinear process
FGIT'12 Proceedings of the 4th international conference on Future Generation Information Technology
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We discuss numerical methods leading to a resolution of fuzzy relational equations which create a formal description of ill-defined systems. An applicability of the numerical approach is shown in solving some problems in fuzzy systems such as identification and control. An idea of fuzzy discretization (fuzzy chopping) as a meaningful tool for handling various problems is also investigated.