© Springer International Publishing Switzerland 2017. The interpretation of degrees of membership as statistical likelihood is probably the oldest interpretation of fuzzy sets. It allows in particular to easily incorporate fuzzy data and fuzzy inferences in statistical methods, and sheds some light on the central role played by extension principle and α-cuts in fuzzy set theory
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
Our aim is to study some specific fuzzy relations (inclusion and similarity) in the framework of the...
AbstractThis paper gives some simple examples to explain the biggest mistake of fuzzy sets is that d...
© Springer International Publishing Switzerland 2017. The interpretation of degrees of membership as...
In order to use fuzzy sets in real-world applications, an interpretation for the values of membershi...
Likelihood functions are studied in a probabilistic and possibilistic setting: inferential conclusio...
In the paper we deal with fuzzy sets under the interpretation given in a coherent probabilistic sett...
[[abstract]]In a population, when rating item is a linguistic variable, the sample mode in the fuzzy...
We adopt the interpretation of fuzzy set as coherent conditional probability, and we study coherent ...
This article provides a largely nontechnical discussion of the acquisition of membership values in f...
© 2015 Elsevier B.V. All rights reserved. This note provides a brief overview of the main ideas and ...
Our aim is to study some specific fuzzy relations (e.g., inclusion, similarity, etc.) in the framewo...
Confidence sets are generally interpreted in terms of replications of an experiment. However, this i...
The evidence theory is ascribed to a specific kind of uncertainty. In this theory, uncertainty refer...
Many discussions have been made on the problem of (i) What are Fuzzy Sets? since the origin of the t...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
Our aim is to study some specific fuzzy relations (inclusion and similarity) in the framework of the...
AbstractThis paper gives some simple examples to explain the biggest mistake of fuzzy sets is that d...
© Springer International Publishing Switzerland 2017. The interpretation of degrees of membership as...
In order to use fuzzy sets in real-world applications, an interpretation for the values of membershi...
Likelihood functions are studied in a probabilistic and possibilistic setting: inferential conclusio...
In the paper we deal with fuzzy sets under the interpretation given in a coherent probabilistic sett...
[[abstract]]In a population, when rating item is a linguistic variable, the sample mode in the fuzzy...
We adopt the interpretation of fuzzy set as coherent conditional probability, and we study coherent ...
This article provides a largely nontechnical discussion of the acquisition of membership values in f...
© 2015 Elsevier B.V. All rights reserved. This note provides a brief overview of the main ideas and ...
Our aim is to study some specific fuzzy relations (e.g., inclusion, similarity, etc.) in the framewo...
Confidence sets are generally interpreted in terms of replications of an experiment. However, this i...
The evidence theory is ascribed to a specific kind of uncertainty. In this theory, uncertainty refer...
Many discussions have been made on the problem of (i) What are Fuzzy Sets? since the origin of the t...
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory...
Our aim is to study some specific fuzzy relations (inclusion and similarity) in the framework of the...
AbstractThis paper gives some simple examples to explain the biggest mistake of fuzzy sets is that d...