This paper deals with Zadeh's compositional rule of inference [7] under triangular norms: IF X is P AND X and Y have relation R, THEN Y is Q, where P and Q are fuzzy sets of the real line IR, R is a fuzzy relation on IR and the conclusion Q is defined via sup-T composition of P and R: #Q (y) = sup x#IR T (# P (x), #R (x, y)), y # IR. It is shown that (i) when the triangular norm T and the membership function of the observation P are continuous, then the conclusion Q depends continuously on the observation; (ii) when T and the membership function of the relation R are continuous, then the observation Q has continuous membership function. Furthermore, we present a similar result for the discrete case 1 Preliminaries A fuzzy set A ...
Models for fuzzy deductive reasoning are becoming important in the field of knowledge-based systems....
This paper is a short note contribution to the topic of fuzzy relational inference systems and the p...
In this paper, we have developed an algebraic theory, suitable for the analysis of fuzzy systems. We...
This paper deals with Zadeh's compositional rule of inference [12] under triangular norms: IF X...
In this paper we consider fuzzy implication operators which are extensions of the two-valued logic i...
Fuzzy relational inference (FRI) systems form an important part of approximate reasoning schemes usi...
The incorporation of imprecise, linguistic information into logical deduction processes, as opposed ...
It is shown that, for some intersection and implication functions, the complexity of the computation...
Abstract — The compositional rule of inference (CRI) introduced by Zadeh is widely used in approxima...
This paper provides an improved decision making approach based on fuzzy numbers and the compositi...
Fuzzy systems are widely used in research and applications considering complex information like gene...
International audienceThere are two classical ways of viewing a fuzzy set in terms of a combination ...
We adopt the interpretation of fuzzy set as coherent conditional probability, and we study coherent ...
AbstractIn fuzzy logic, connectives have a meaning that, can frequently be known through the use of ...
The modification (relaxation or intensification) of the antecedent or the consequent in a fuzzy “If,...
Models for fuzzy deductive reasoning are becoming important in the field of knowledge-based systems....
This paper is a short note contribution to the topic of fuzzy relational inference systems and the p...
In this paper, we have developed an algebraic theory, suitable for the analysis of fuzzy systems. We...
This paper deals with Zadeh's compositional rule of inference [12] under triangular norms: IF X...
In this paper we consider fuzzy implication operators which are extensions of the two-valued logic i...
Fuzzy relational inference (FRI) systems form an important part of approximate reasoning schemes usi...
The incorporation of imprecise, linguistic information into logical deduction processes, as opposed ...
It is shown that, for some intersection and implication functions, the complexity of the computation...
Abstract — The compositional rule of inference (CRI) introduced by Zadeh is widely used in approxima...
This paper provides an improved decision making approach based on fuzzy numbers and the compositi...
Fuzzy systems are widely used in research and applications considering complex information like gene...
International audienceThere are two classical ways of viewing a fuzzy set in terms of a combination ...
We adopt the interpretation of fuzzy set as coherent conditional probability, and we study coherent ...
AbstractIn fuzzy logic, connectives have a meaning that, can frequently be known through the use of ...
The modification (relaxation or intensification) of the antecedent or the consequent in a fuzzy “If,...
Models for fuzzy deductive reasoning are becoming important in the field of knowledge-based systems....
This paper is a short note contribution to the topic of fuzzy relational inference systems and the p...
In this paper, we have developed an algebraic theory, suitable for the analysis of fuzzy systems. We...