We start by describing the nature of imperfect data, and giving an overview of the various models that have been proposed. Fuzzy sets theory is shown to be an extension of classical set theory, and as such has a proeminent role or modelling imperfect data. The mathematic of fuzzy sets theory is detailled, in particular the role of the triangular norms. The use of fuzzy sets theory in fuzzy logic and possibility theory,the nature of the generalized modus ponens and of the implication operator for approximate reasoning are analysed. The use of fuzzy logic is detailled for application oriented towards process control and database problems
Real world is featured with complex phenomenons. As uncertainty is inevitably involved in problems a...
In this paper we first outline the shortcomings of classical binary logic and Cantor's set theory in...
Every day decision making and decision making in complex human-centric systems are characterized by ...
This paper is intended to give an introduction to some of the basic concepts and definitions of the ...
This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and ...
The term Fuzzy mathematics is related to research and treatment of phenomenon of ambiguity. Fuzzines...
Zadeh proposed and developed the theory of approximate reasoning in a long series of papers in the 1...
Zadeh proposed and developed the theory of approximate reasoning in a long series of papers in the 1...
The fuzzy theory is a generalization of the standard set theory that is based on the membership func...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
It has been recognised that formal methods are useful as a modelling tool in requirements engineerin...
In the Classical Logic, the ‘Law of the Excluded Middle’ states that out of two contradictory propos...
This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over th...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
F~zzy sets theory and fuzzy logic constitute the basis for the l inguist ic approach. Under this app...
Real world is featured with complex phenomenons. As uncertainty is inevitably involved in problems a...
In this paper we first outline the shortcomings of classical binary logic and Cantor's set theory in...
Every day decision making and decision making in complex human-centric systems are characterized by ...
This paper is intended to give an introduction to some of the basic concepts and definitions of the ...
This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and ...
The term Fuzzy mathematics is related to research and treatment of phenomenon of ambiguity. Fuzzines...
Zadeh proposed and developed the theory of approximate reasoning in a long series of papers in the 1...
Zadeh proposed and developed the theory of approximate reasoning in a long series of papers in the 1...
The fuzzy theory is a generalization of the standard set theory that is based on the membership func...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
It has been recognised that formal methods are useful as a modelling tool in requirements engineerin...
In the Classical Logic, the ‘Law of the Excluded Middle’ states that out of two contradictory propos...
This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over th...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
F~zzy sets theory and fuzzy logic constitute the basis for the l inguist ic approach. Under this app...
Real world is featured with complex phenomenons. As uncertainty is inevitably involved in problems a...
In this paper we first outline the shortcomings of classical binary logic and Cantor's set theory in...
Every day decision making and decision making in complex human-centric systems are characterized by ...