AbstractIn this paper the methods of random processes are used to establish the rigorous mathematical concepts of fuzzy sets and set up the concepts of extensive fuzzy sets. A 0–1 process determined by C on an index set T is called an extensive fuzzy set in T. As a special case, an independent 0–1 process is a fuzzy set. An example shows that the extensive fuzzy sets may portray fuzzy phenomena more precisely. The proofs of a decomposition theorem and an extension theorem are given
The paper considers a particular family of fuzzy monotone set–valued stochastic processes. In order ...
Fuzziness is discussed in the context of multivalued logic, and a corresponding view of fuzzy sets i...
The book is a collection of contributions by leading experts, developed around traditional themes di...
AbstractIn this paper the methods of random processes are used to establish the rigorous mathematica...
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...
The paper starts from the observation on the complexity of the manipulation of fuzzy processes that ...
summary:In this paper, a general convergence theorem of fuzzy random variables is considered. Using ...
It is known that from the purely mathematical viewpoint, fuzzy sets can be interpreted as equivalent...
The concept of Fuzzy-random-variable was introduced as an analogous notion to random- variable in or...
This short book provides a unified view of the history and theory of random sets and fuzzy random va...
Random fuzzy theory offers an appropriate mechanism to model random fuzzy phenomena, with a random f...
This paper tries to develop a neat and comprehensive probability theory for sample spaces where the ...
AbstractThe fundamental theory of fuzzy orthogonal random measure, the value of which is the element...
International audienceThis short book provides a unified view of the history and theory of random se...
The paper considers a particular family of fuzzy monotone set–valued stochastic processes. In order ...
Fuzziness is discussed in the context of multivalued logic, and a corresponding view of fuzzy sets i...
The book is a collection of contributions by leading experts, developed around traditional themes di...
AbstractIn this paper the methods of random processes are used to establish the rigorous mathematica...
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...
The paper starts from the observation on the complexity of the manipulation of fuzzy processes that ...
summary:In this paper, a general convergence theorem of fuzzy random variables is considered. Using ...
It is known that from the purely mathematical viewpoint, fuzzy sets can be interpreted as equivalent...
The concept of Fuzzy-random-variable was introduced as an analogous notion to random- variable in or...
This short book provides a unified view of the history and theory of random sets and fuzzy random va...
Random fuzzy theory offers an appropriate mechanism to model random fuzzy phenomena, with a random f...
This paper tries to develop a neat and comprehensive probability theory for sample spaces where the ...
AbstractThe fundamental theory of fuzzy orthogonal random measure, the value of which is the element...
International audienceThis short book provides a unified view of the history and theory of random se...
The paper considers a particular family of fuzzy monotone set–valued stochastic processes. In order ...
Fuzziness is discussed in the context of multivalued logic, and a corresponding view of fuzzy sets i...
The book is a collection of contributions by leading experts, developed around traditional themes di...