Information measures for q‐rung orthopair fuzzy sets
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22115
Abstract: The q‐rung orthopair fuzzy set (q‐ROFS), originally developed by Yager, is more capable than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper is to investigate the… read more here.
Keywords: similarity measure; information measures; measure; orthopair fuzzy ... See more keywords
Coordinate invariance as a fundamental constraint on the form of stimulus-specific information measures
Sign Up to like & getrecommendations! Published in 2017 at "Biological Cybernetics"
DOI: 10.1007/s00422-017-0729-7
Abstract: The value of Shannon’s mutual information is commonly used to describe the total amount of information that the neural code transfers between the ensemble of stimuli and the ensemble of neural responses. In addition, it… read more here.
Keywords: specific information; coordinate invariance; information; stimulus ... See more keywords
Analysis of entropy and Fisher information for the new X-Lindley model with applications to failure data
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DOI: 10.1063/5.0284969
Abstract: Many disciplines, including environmental sciences, reliability engineering, hydrology, and information theory, rely heavily on information measures derived from statistical distributions for decision-making, risk assessment, and system design. Motivated by this need, the present study provides… read more here.
Keywords: information; fisher information; new lindley; analysis entropy ... See more keywords
Credibility distribution based R-norm fuzzy information measures in noiseless coding theorems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of General Systems"
DOI: 10.1080/03081079.2018.1552686
Abstract: ABSTRACT In the present communication, a parametric R-norm fuzzy entropy of a fuzzy variable and subsequently R-norm fuzzy directed divergence measure of fuzzy variables by taking the credibility distribution measure into account have been proposed… read more here.
Keywords: credibility distribution; information measures; norm fuzzy; noiseless coding ... See more keywords
On some dynamic generalized information measures for bivariate lifetimes
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1395051
Abstract: ABSTRACT Several generalizations to the concept of Kullback-Leibler divergence measure and Kerridge inaccuracy measure are available in the literature. In a recent paper Kundu (Metrika, 78:415–435, 2015) considered a generalized K-L divergence measure of order… read more here.
Keywords: measures bivariate; generalized information; information measures; measure ... See more keywords
Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2021.3123944
Abstract: Information-theoretic quantities like entropy and mutual information have found numerous uses in machine learning. It is well known that there is a strong connection between these entropic quantities and submodularity since entropy over a set… read more here.
Keywords: information; mutual information; submodular information; information measures ... See more keywords
Novel Information Measures for Fermatean Fuzzy Sets and Their Applications to Pattern Recognition and Medical Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2023/9273239
Abstract: Fermatean fuzzy sets (FFSs) have piqued the interest of researchers in a wide range of domains. The striking framework of the FFS is keen to provide the larger preference domain for the modeling of ambiguous… read more here.
Keywords: information; fuzzy sets; fermatean fuzzy; medical diagnosis ... See more keywords
Useful Dual Functional of Entropic Information Measures
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DOI: 10.3390/e22040491
Abstract: There are entropic functionals galore, but not simple objective measures to distinguish between them. We remedy this situation here by appeal to Born’s proposal, of almost a hundred years ago, that the square modulus of… read more here.
Keywords: information measures; entropic; functional entropic; dual functional ... See more keywords
Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning
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DOI: 10.3390/e25050802
Abstract: 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 functions and Estimated Mutual Information (EMI) are used as learning… read more here.
Keywords: information; mutual information; semantic information; information measures ... See more keywords
InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data
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DOI: 10.3390/e27040357
Abstract: Despite the widespread use of information measures in analyzing probabilistic systems, effective visualization tools for understanding complex dependencies in sequential data are scarce. In this work, we introduce the information matrix (InfoMat), a novel and… read more here.
Keywords: information; infomat; information theory; sequential data ... See more keywords