A functional defined on the class of generalized characteristic functions (fuzzy sets), called “entropy≓, is introduced using no probabilistic concepts in order to obtain a global measure of the indefiniteness connected with the situations described by fuzzy sets. This “entropy≓ may be regarded as a measure of a quantity of information which is not necessarily related to random experiments.Some mathematical properties of this functional are analyzed and some considerations on its applicability to pattern analysis are made
summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic f...
In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy ent...
Information theory was introduced by Shannon in 1948 and it includes the study of uncertainty measur...
A functional defined on the class of generalized characteristic functions (fuzzy sets), called “entr...
A new definition of probabilistic entropy based on the exponential behavior of gain function has rec...
A non-probabilistic-type entropy measure for intuitionistic fuzzy sets is proposed. It is a result o...
The concept of entropy of a discrete fuzzy measure has been recently introduced in two different way...
peer reviewedThe concept of entropy of a discrete fuzzy measure has been recently introduced in two ...
AbstractSeveral types of entropy of fuzzy variables or fuzzy sets have been given in the literature ...
Our paper analyzes some aspects of Uncertainty Measures. We need to obtain new ways to model adequat...
Entropy plays an important role in many real-life applications to measure the amount of fuzziness as...
In this paper, by axiomatic way, a form of information entropy will be prsented on crisp and fuzzy s...
In the present communication, we have proposed some new generalized measure of fuzzy entropy based u...
Abstract – In this paper the elem ntary entropy function based fuzzy entropy construction and fuzzy ...
AbstractUsing an additive fuzzy measure a notion of the entropy of a finite fuzzy partition has been...
summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic f...
In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy ent...
Information theory was introduced by Shannon in 1948 and it includes the study of uncertainty measur...
A functional defined on the class of generalized characteristic functions (fuzzy sets), called “entr...
A new definition of probabilistic entropy based on the exponential behavior of gain function has rec...
A non-probabilistic-type entropy measure for intuitionistic fuzzy sets is proposed. It is a result o...
The concept of entropy of a discrete fuzzy measure has been recently introduced in two different way...
peer reviewedThe concept of entropy of a discrete fuzzy measure has been recently introduced in two ...
AbstractSeveral types of entropy of fuzzy variables or fuzzy sets have been given in the literature ...
Our paper analyzes some aspects of Uncertainty Measures. We need to obtain new ways to model adequat...
Entropy plays an important role in many real-life applications to measure the amount of fuzziness as...
In this paper, by axiomatic way, a form of information entropy will be prsented on crisp and fuzzy s...
In the present communication, we have proposed some new generalized measure of fuzzy entropy based u...
Abstract – In this paper the elem ntary entropy function based fuzzy entropy construction and fuzzy ...
AbstractUsing an additive fuzzy measure a notion of the entropy of a finite fuzzy partition has been...
summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic f...
In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy ent...
Information theory was introduced by Shannon in 1948 and it includes the study of uncertainty measur...