Abstract: Based on the exponential and trigonometry functions, a new divergence measure is introduced under the intuitionistic fuzzy environment. The Intuitionistic Fuzzy Divergence Measure is an indispensable instrument to calculate the variance between two intuitionistic fuzzy sets. Many attractive properties are displayed to enhance the value of introduced intuitionistic fuzzy divergence measure. Many existing divergence measures are reviewed with their counter-intuitive examples. Finally, the invented divergence measure is applicative in the field of medical deliverance to differentiate between diseases with nearby same symptoms, pattern recognition to categorize the unknown into one of the known pattern.Published By: Blue Eyes Intellig...
In axiomatic way, a divergence among fuzzy sets is introduced which extends the symmetric difference...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
7th Conference of the European Society for Fuzzy Logic and Technology. Advances in Intelligent Syste...
An axiomatic definition of divergence measure for intuitionistic fuzzy sets (IFSs, for short) is pre...
A divergence measure plays an important role in discriminating two probability distributions and dra...
Divergence measure is an important tool for determining the amount of discrimination between two pro...
Several measures of directed divergence and their corresponding measures of fuzzy divergence are ava...
Several measures of directed divergence and their corresponding measures of fuzzy divergence are ava...
AbstractThis paper introduces a new parametric generalized measure of fuzzy divergence with the proo...
Divergence or relative information is a measure of information associated with two probability distr...
A divergence measure plays a crucial part in discriminating two probability distributions and drawin...
AbstractIn the present communication, we propose an exponential entropy of order β for an intuitioni...
In this paper we propose a way of measuring the difference between two fuzzy sets by means of a func...
Vagueness in the scientific studies presents a challenging dimension. Intuitionistic fuzzy set theor...
AbstractIn this paper we propose a way of measuring the difference between two fuzzy sets by means o...
In axiomatic way, a divergence among fuzzy sets is introduced which extends the symmetric difference...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
7th Conference of the European Society for Fuzzy Logic and Technology. Advances in Intelligent Syste...
An axiomatic definition of divergence measure for intuitionistic fuzzy sets (IFSs, for short) is pre...
A divergence measure plays an important role in discriminating two probability distributions and dra...
Divergence measure is an important tool for determining the amount of discrimination between two pro...
Several measures of directed divergence and their corresponding measures of fuzzy divergence are ava...
Several measures of directed divergence and their corresponding measures of fuzzy divergence are ava...
AbstractThis paper introduces a new parametric generalized measure of fuzzy divergence with the proo...
Divergence or relative information is a measure of information associated with two probability distr...
A divergence measure plays a crucial part in discriminating two probability distributions and drawin...
AbstractIn the present communication, we propose an exponential entropy of order β for an intuitioni...
In this paper we propose a way of measuring the difference between two fuzzy sets by means of a func...
Vagueness in the scientific studies presents a challenging dimension. Intuitionistic fuzzy set theor...
AbstractIn this paper we propose a way of measuring the difference between two fuzzy sets by means o...
In axiomatic way, a divergence among fuzzy sets is introduced which extends the symmetric difference...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
7th Conference of the European Society for Fuzzy Logic and Technology. Advances in Intelligent Syste...