Accomplishing environmental sustainability has become a global initiative whilst addressing
climate change and its effects. Thus, there is a necessity for innovation on part of economies …

Entropy and distance are the most important information-theoretic measures. These
measures have found useful applications in different areas. In the present communication …

A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE)
and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity …

The present study investigates the impact of renewable and nonrenewable energy use on
economic growth in India within the energy consumption–growth framework over the period …

In this paper, an exponential function based novel distance measure between Pythagorean
fuzzy sets is introduced. The additional properties of the proposed Pythagorean fuzzy …

Single-valued neutrosophic sets (SVNSs) facilitate the representation of uncertain
information more extensively than conventional methods. The study of divergence measures …

ABSTRACT Fuzzy Sets and Systems (FSS) is an influential international journal of fuzzy
research. This study provides a bibliometric overview of the publications of FSS from 2000 to …

Road traffic injury (RTI) is one of the most common causes of accidental deaths in India. The
study investigates the changes in trends in age-standardised RTI mortality rates in India by …

The knowledge domain of business research has grown tremendously over the last five
decades. This study investigates the leading trends in the intellectual structure of the Journal …

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