Fuzzy and non-standard fuzzy information measures act upon vague information entailed in
linguistic variables or uncertain numerical data following some goal for which they discover …

In this communication, we propose a generalized fuzzy knowledge measure and prove its
efficiency by comparing it with some existing entropies. We also propose a generalized …

A divergence measure plays an important role in discriminating two probability distributions
and drawing inferences based on such discrimination. This communication introduces one …

Fuzzy divergence measure provides an information-theoretic distance between two fuzzy
sets. It has been used successfully in different application areas. In the present work, we …

In this communication, we propose two quantities named 'An (R', S')(R′, S′)-norm directed
divergence measure'and '(R', S')(R′, S′)-norm fuzzy directed divergence measure' …

Divergence measure is an important tool for determining the amount of discrimination
between two probability distributions. Since the introduction of fuzzy sets, divergence …

Entropy in a fuzzy set measures the amount of ambiguity/imprecision presented in the fuzzy
set. In this article, the authors introduce a generalized fuzzy entropy measure and …

In a number of fuzzy systems, knowledge measures have been extensively investigated.
However, no research on knowledge measures derived from divergence for standard fuzzy …

The present paper introduces a parametric generalized exponential measure of fuzzy
divergence of order α with the proof of its validity. A particular case of proposed fuzzy …

In the literature of information theory and fuzzy set doctrine, there exist various prominent
measures of divergence; each possesses its own merits, demerits, and disciplines of …