The mathematical framework for studying of a fuzzy approximate reasoning is presented in this paper. Two important defuzzification methods (Area defuzzification and Height defuzzification) besides the center of gravity method which is the best well known defuzzification method are described. The continuity of the defuzzification methods and its application to a fuzzy feedback control are discussed
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
Fuzzy logic is a logic of approximate reasoning, established by Lotfi Zadeh since 1965 in his work [...
Defuzzification converts the final fuzzy output set of fuzzy controller and fuzzy inference systems ...
Defuzzification is understood as a process through a precise numerical value. It is calculated from ...
Defuzzification is understood as a process through a precise numerical value. It is calculated from ...
Some aspects of the defuzzification method in fuzzy expert information processing in the expert syst...
Some aspects of the defuzzification method in fuzzy expert information processing in the expert syst...
Defuzzification is an essential problem in fuzzy systems that it is always solved in a heuristic way...
AbstractFuzzy control is at present still the most important application of fuzzy theory. It is a ge...
The article introduces a new proposal of a def uzzification method, which can be implemented in fuzz...
Fuzzy logic is a method to formalize the human capacity of imprecise reasoning. Fuzzy logic react ho...
[[abstract]]In this paper, arbitrary numbers of triangular fuzzy numbers employed to fuzzify the lin...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
Fuzzy logic is a logic of approximate reasoning, established by Lotfi Zadeh since 1965 in his work [...
Defuzzification converts the final fuzzy output set of fuzzy controller and fuzzy inference systems ...
Defuzzification is understood as a process through a precise numerical value. It is calculated from ...
Defuzzification is understood as a process through a precise numerical value. It is calculated from ...
Some aspects of the defuzzification method in fuzzy expert information processing in the expert syst...
Some aspects of the defuzzification method in fuzzy expert information processing in the expert syst...
Defuzzification is an essential problem in fuzzy systems that it is always solved in a heuristic way...
AbstractFuzzy control is at present still the most important application of fuzzy theory. It is a ge...
The article introduces a new proposal of a def uzzification method, which can be implemented in fuzz...
Fuzzy logic is a method to formalize the human capacity of imprecise reasoning. Fuzzy logic react ho...
[[abstract]]In this paper, arbitrary numbers of triangular fuzzy numbers employed to fuzzify the lin...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
This paper presents a new learning algorithm for the design of Mamdani-type or fully-linguistic fuzz...
Fuzzy logic is a logic of approximate reasoning, established by Lotfi Zadeh since 1965 in his work [...