Shapley divergence measures with VIKOR method for multi-attribute decision-making problems
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3101-x
Abstract: Uncertainty is the most usual problem in decision making, for which intuitionistic fuzzy set (IFS) considered as appropriate means allowing numerous feasible degree of an element to a set. In this paper, we mention first… read more here.
Keywords: decision making; divergence; divergence measures; vikor method ... See more keywords
A Divergence-Based Medical Decision-Making Process of COVID-19 Diagnosis
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DOI: 10.1155/2022/7685033
Abstract: This study is concerned with introducing a class of parametric and symmetric divergence measures under hesitant fuzzy environment. The proposed divergence measures have several interesting properties which make their use attractive. In order for exploring… read more here.
Keywords: divergence based; hesitant fuzzy; divergence measures; proposed divergence ... See more keywords
Robust Procedures for Estimating and Testing in the Framework of Divergence Measures
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DOI: 10.3390/e23040430
Abstract: The approach for estimating and testing based on divergence measures has become, in the last 30 years, a very popular technique not only in the field of statistics, but also in other areas, such as… read more here.
Keywords: procedures estimating; robust procedures; estimating testing; divergence measures ... See more keywords
On Representations of Divergence Measures and Related Quantities in Exponential Families
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DOI: 10.3390/e23060726
Abstract: Within exponential families, which may consist of multi-parameter and multivariate distributions, a variety of divergence measures, such as the Kullback–Leibler divergence, the Cressie–Read divergence, the Rényi divergence, and the Hellinger metric, can be explicitly expressed… read more here.
Keywords: representations divergence; measures related; divergence; related quantities ... See more keywords
Discriminant Analysis under f-Divergence Measures
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DOI: 10.3390/e24020188
Abstract: In statistical inference, the information-theoretic performance limits can often be expressed in terms of a statistical divergence between the underlying statistical models (e.g., in binary hypothesis testing, the error probability is related to the total… read more here.
Keywords: divergence measures; gaussian models; discriminant analysis; design ... See more keywords
Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems
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DOI: 10.3390/e24050712
Abstract: Data science, information theory, probability theory, statistical learning, statistical signal processing, and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures [...]. read more here.
Keywords: information; measures mathematical; foundations applications; divergence measures ... See more keywords
Information and Divergence Measures
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DOI: 10.3390/e25040683
Abstract: The present Special Issue of Entropy, entitled Information and Divergence Measures, covers various aspects and applications in the general area of Information and Divergence Measures [...]. read more here.
Keywords: information divergence; divergence measures;
A New Fuzzy Information Inequalities and its Applications in Establishing Relation among Fuzzy $f$-Divergence Measures
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DOI: 10.5556/j.tkjm.53.2022.3411
Abstract: There are many fuzzy information and divergence measures exist in the literature of fuzzy Information Theory. Inequalities play important role for finding the relations. Here, we will introduce some new information inequalities on fuzzy measures… read more here.
Keywords: information inequalities; fuzzy information; fuzzy divergence; divergence ... See more keywords
Generalized ‘useful’ non-symmetric divergence measures and inequalities
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DOI: 10.7153/jmi-2019-13-30
Abstract: In the present paper we consider one parameter generalizations of some ’useful’ non symmetric divergence measures. All the generalizations considered can be written as particular cases of Csiszar f-divergence. Under some conditions of probability distributions,… read more here.
Keywords: symmetric divergence; useful non; non symmetric; divergence ... See more keywords