Add to ORKGThis lecture is mainly a survey of useful probabilistic methods in the theoretical analysis of fuzzy theory for modeling and design of intelligent systems. The probabilistic methods also are useful for fusing domain knowledge with numerical data in the field of intelligent data analysis. © 2004 Wiley Periodicals, Inc.§ 1
In the paper we deal with fuzzy sets under the interpretation given in a coherent probabilistic sett...
A new type Fuzzy Inference System is proposed, a Probabilistic Fuzzy Inference system which model an...
The notion of unification for fuzzy sets in fuzzy logic programming is explored in this article from...
Recent developments in Soft Computing and StatisticsInternational audienceProbability theory has bee...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
This report documents the program and the outcomes of Dagstuhl Seminar 17141 "Probabilistic Methods ...
Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistica...
The book is a collection of contributions by leading experts, developed around traditional themes di...
Probabilistic methods are increasingly becoming an important tool in a variety of disciplines includ...
We introduce a type of probabilistic fuzzy system with a generalized Mamdani-type fuzzy rule base, a...
Fuzzy set theory is an effective alternative to probability theory in solving many problems of study...
Fuzzy set theory is an effective alternative to probability theory in solving many problems of study...
Numerical methods provide the computational foundation of science, and power automated data analysis...
Although probabilistic knowledge representations and probabilistic reasoning have by now secured the...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
In the paper we deal with fuzzy sets under the interpretation given in a coherent probabilistic sett...
A new type Fuzzy Inference System is proposed, a Probabilistic Fuzzy Inference system which model an...
The notion of unification for fuzzy sets in fuzzy logic programming is explored in this article from...
Recent developments in Soft Computing and StatisticsInternational audienceProbability theory has bee...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
This report documents the program and the outcomes of Dagstuhl Seminar 17141 "Probabilistic Methods ...
Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistica...
The book is a collection of contributions by leading experts, developed around traditional themes di...
Probabilistic methods are increasingly becoming an important tool in a variety of disciplines includ...
We introduce a type of probabilistic fuzzy system with a generalized Mamdani-type fuzzy rule base, a...
Fuzzy set theory is an effective alternative to probability theory in solving many problems of study...
Fuzzy set theory is an effective alternative to probability theory in solving many problems of study...
Numerical methods provide the computational foundation of science, and power automated data analysis...
Although probabilistic knowledge representations and probabilistic reasoning have by now secured the...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
In the paper we deal with fuzzy sets under the interpretation given in a coherent probabilistic sett...
A new type Fuzzy Inference System is proposed, a Probabilistic Fuzzy Inference system which model an...
The notion of unification for fuzzy sets in fuzzy logic programming is explored in this article from...