AbstractIn this paper, we study the semantics of fuzzy sets. We show that fuzzy sets can be interpreted as the aggregation of a set of observations. We formalize this interpretation by means of the OWA and the WOWA operators. The introduction of the WOWA operator allows the user to weigh each observation
The Fuzzy Semantic Model (FSM) is a database model that has been recently proposed. In addition to ...
This paper is based on an invited talk at the EUROFUSE Workshop Preference Modelling and Decision An...
In this paper the fuzzy set theory is applied to define a measure of subject satisfaction relating t...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
This paper is just a first approach to the idea that the membership function $\mu _{P}$ of a fuzzy s...
A different interpretation of union, intersection, and inclusion in fuzzy sets in the light of measu...
This article provides a largely nontechnical discussion of the acquisition of membership values in f...
International audienceThis paper is an introduction to fuzzy set theory. It has several purposes. Fi...
AbstractSince the naissance of the fuzzy set theory in 1965, it has been applied to many areas exten...
In the treatment of Fuzzy Logic an useful tool appears: the membership function, with the informatio...
The fuzzy theory is a generalization of the standard set theory that is based on the membership func...
Without a clear interpretation of fuzziness, it is hard for fuzzy logic to justify its rules, to get...
Fuzzy sets are relatively new to social science. The first comprehensive introduction of fuzzy sets ...
Abstract: The Fuzzy Semantic Model (FSM) is a database model that has been recently proposed. In add...
This paper is, basically, a reflection on modeling, starting by asking what happens when the meaning...
The Fuzzy Semantic Model (FSM) is a database model that has been recently proposed. In addition to ...
This paper is based on an invited talk at the EUROFUSE Workshop Preference Modelling and Decision An...
In this paper the fuzzy set theory is applied to define a measure of subject satisfaction relating t...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
This paper is just a first approach to the idea that the membership function $\mu _{P}$ of a fuzzy s...
A different interpretation of union, intersection, and inclusion in fuzzy sets in the light of measu...
This article provides a largely nontechnical discussion of the acquisition of membership values in f...
International audienceThis paper is an introduction to fuzzy set theory. It has several purposes. Fi...
AbstractSince the naissance of the fuzzy set theory in 1965, it has been applied to many areas exten...
In the treatment of Fuzzy Logic an useful tool appears: the membership function, with the informatio...
The fuzzy theory is a generalization of the standard set theory that is based on the membership func...
Without a clear interpretation of fuzziness, it is hard for fuzzy logic to justify its rules, to get...
Fuzzy sets are relatively new to social science. The first comprehensive introduction of fuzzy sets ...
Abstract: The Fuzzy Semantic Model (FSM) is a database model that has been recently proposed. In add...
This paper is, basically, a reflection on modeling, starting by asking what happens when the meaning...
The Fuzzy Semantic Model (FSM) is a database model that has been recently proposed. In addition to ...
This paper is based on an invited talk at the EUROFUSE Workshop Preference Modelling and Decision An...
In this paper the fuzzy set theory is applied to define a measure of subject satisfaction relating t...
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