AbstractIn a historical context, we first review the development of fuzzy system models from “Fuzzy Rule Bases” proposed by Zadeh (1975) [1], with versions of Sugeno–Yasukawa (1993) [2] and Tagaki–Sugeno (1985) [3]. Secondly, we review the development of the “Fuzzy C-Regression Model” (FCRM), proposed by Hathaway and Bezdek (1993) [4], as well as “Combined FCM, and FCRM Algorithms, proposed by Höppner and Klawonn (2003) [5]. Thirdly, we review “Fuzzy Functions”, proposed by Türkşen (2008) [6] and further developed by Celikyilmaz and Türkşen (2008–2009) [7–9] in a variety of versions. An experimental assessment of various models are discussed in this writing
In this work, three topics which are important for the further development of fuzzy systems are chos...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
“Fuzzy Functions ” are proposed to be determined separately by two regression estimation models: the...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
In this work, three topics which are important for the further development of fuzzy systems are chos...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
Fuzzy Sets and Fuzzy Logic were introduced by Lotfi Zadeh in 1965 in his seminal paper [71]. During ...
International audienceThis special issue celebrates the publication of the first paper on fuzzy sets...
In this work, three topics which are important for the further development of fuzzy systems are chos...
Dedicated to the Memory of Professor K. Asai and Professor H. Tanaka”International audienceThis spec...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
In this work, three topics which are important for the further development of fuzzy systems are chos...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
“Fuzzy Functions ” are proposed to be determined separately by two regression estimation models: the...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
In this work, three topics which are important for the further development of fuzzy systems are chos...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as ant...
Fuzzy Sets and Fuzzy Logic were introduced by Lotfi Zadeh in 1965 in his seminal paper [71]. During ...
International audienceThis special issue celebrates the publication of the first paper on fuzzy sets...
In this work, three topics which are important for the further development of fuzzy systems are chos...
Dedicated to the Memory of Professor K. Asai and Professor H. Tanaka”International audienceThis spec...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
In this work, three topics which are important for the further development of fuzzy systems are chos...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...
Fuzzy set theory provides a formal method for modeling complex systems. In classical modeling, syste...