… of measuring these differences by means of a fuzzy valued function which we will call fuzzy
divergence measure… We formulate a list of natural axioms that these measures should satisfy. …

… In particular, we establish a relationship between IF-divergences and divergences for fuzzy
… build fuzzy divergences from IFdivergences and conversely, IF-divergences from divergences…

… The relation between uncertainty and other measures like entropy measures, fuzziness and
… uncertainty measures by using new defined divergence-based cross entropy measure of …

… The ‘useful’ fuzzy measure of information and directed divergence studied in the present
paper can further be generalised parametrically. The optimisation of these measures under …

… measuring the difference between two fuzzy sets by means of a function which we will call
divergence. … in detail the most important classes of such measures, those which have the local …

… measure the distance of PFSs from divergence perspective to address the above issue. This
study is the first work to consider the divergence of PFSs for measuring … divergence is a true …

… The divergence measures for fuzzy sets are used to find the discrimination between fuzzy
sets. In this study, several divergence functions for C-IFSs are defined. The investigations …

… may consider divergence measures between IFSs. The most popular divergence measure
… 2, we present a class of symmetric divergence measures and indicate a special divergence …

… propose a S–D measure by combining similarity and divergence measures between IFSs;
(2… weights based on the proposed fuzzy measure rather than a real-valued measure; (3) we …

… Thus, we propose a way of measuring the fuzziness of a fuzzy set by means of a function of
… fuzziness measures and we continue with the divergence measures in the next subsection. …