This book examines fuzzy relational calculus theory with applications in various engineering subjects. The scope of the text covers unified and exact methods with algorithms for direct and inverse problem resolution in fuzzy relational calculus. Extensive engineering applications of fuzzy relation compositions and fuzzy linear systems (linear, relational and intuitionistic) are discussed. Some examples of such applications include solutions of equivalence, reduction and minimization problems in fuzzy machines, pattern recognition in fuzzy languages, optimization and inference engines in textile and chemical engineering, etc. A comprehensive overview of the authors' original work in fuzzy relational calculus is also provided in each chapter....
AbstractThis paper deals with the connections existing between fuzzy set theory and fuzzy relational...
Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a co...
AbstractThe paper provides an idea of generalization of fuzzy relational equations where t- and s-no...
We provide a self contained survey of the state of art of the fuzzy binary relations and some of the...
This paper deals with the problem of the determination of lower solutions of fuzzy relational equati...
Relations appear in many fields of mathematics and computer science. In classical mathematics these ...
In this work, three topics which are important for the further development of fuzzy systems are chos...
The question of solving mathematical relationships involving fuzzy relations and numbers is investig...
Fuzzy relational structures, built with the aid of fuzzy sets and fuzzy relations, constitute a fund...
The paper addresses a problem of classification formulated in a framework of fuzzy relation calculus...
It is pointed out that standard relational database management systems are incapable of representing...
This paper presents an attempt to embed and unify research on intuitionistic fuzzy (IF) relations in...
This paper provides a methodology for solution of certain basic fuzzy relational equations, with fuz...
[[abstract]]Fuzzy relation equation is one branch of fuzzy theory. When we probe into the inverse op...
EDITORIAL Fuzzy relation equations were initially studied in 1976 by E. Sanchez for modeling of medi...
AbstractThis paper deals with the connections existing between fuzzy set theory and fuzzy relational...
Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a co...
AbstractThe paper provides an idea of generalization of fuzzy relational equations where t- and s-no...
We provide a self contained survey of the state of art of the fuzzy binary relations and some of the...
This paper deals with the problem of the determination of lower solutions of fuzzy relational equati...
Relations appear in many fields of mathematics and computer science. In classical mathematics these ...
In this work, three topics which are important for the further development of fuzzy systems are chos...
The question of solving mathematical relationships involving fuzzy relations and numbers is investig...
Fuzzy relational structures, built with the aid of fuzzy sets and fuzzy relations, constitute a fund...
The paper addresses a problem of classification formulated in a framework of fuzzy relation calculus...
It is pointed out that standard relational database management systems are incapable of representing...
This paper presents an attempt to embed and unify research on intuitionistic fuzzy (IF) relations in...
This paper provides a methodology for solution of certain basic fuzzy relational equations, with fuz...
[[abstract]]Fuzzy relation equation is one branch of fuzzy theory. When we probe into the inverse op...
EDITORIAL Fuzzy relation equations were initially studied in 1976 by E. Sanchez for modeling of medi...
AbstractThis paper deals with the connections existing between fuzzy set theory and fuzzy relational...
Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a co...
AbstractThe paper provides an idea of generalization of fuzzy relational equations where t- and s-no...