Results 1 to 10 of about 18,139 (247)
Logical Divergence, Logical Entropy, and Logical Mutual Information in Product MV-Algebras [PDF]
Entropy, 2018 In the paper we propose, using the logical entropy function, a new kind of entropy in product MV-algebras, namely the logical entropy and its conditional version.
Dagmar Markechová +2 more
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Logical Entropy and Logical Mutual Information of Experiments in the Intuitionistic Fuzzy Case [PDF]
Entropy, 2017 In this contribution, we introduce the concepts of logical entropy and logical mutual information of experiments in the intuitionistic fuzzy case, and study the basic properties of the suggested measures. Subsequently, by means of the suggested notion of
Dagmar Markechová, Beloslav Riečan
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Logical Entropy of Information Sources
Entropy, 2022 In this paper, we present the concept of the logical entropy of order m, logical mutual information, and the logical entropy for information sources. We found upper and lower bounds for the logical entropy of a random variable by using convex functions ...
Peng Xu, Yamin Sayyari, Saad Ihsan Butt
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Logical Entropy of Fuzzy Dynamical Systems
Entropy, 2016 Recently the logical entropy was suggested by D. Ellerman (2013) as a new information measure. The present paper deals with studying logical entropy and logical mutual information and their properties in a fuzzy probability space.
Dagmar Markechová, Beloslav Riečan
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Logical Entropy: Introduction to Classical and Quantum Logical Information Theory [PDF]
Entropy, 2018 Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets.
David Ellerman
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Logical Entropy of Dynamical Systems—A General Model
Mathematics, 2017 In the paper by Riečan and Markechová (Fuzzy Sets Syst. 96, 1998), some fuzzy modifications of Shannon’s and Kolmogorov-Sinai’s entropy were studied and the general scheme involving the presented models was introduced.
Abolfazl Ebrahimzadeh +2 more
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Introduction to logical entropy and its relationship to Shannon entropy [PDF]
4 open, 2022 We live in the information age. Claude Shannon, as the father of the information age, gave us a theory of communications that quantified an “amount of information,” but, as he pointed out, “no concept of information itself was defined.” Logical entropy ...
Ellerman David
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Entropy, 2021 In the rate-distortion function and the Maximum Entropy (ME) method, Minimum Mutual Information (MMI) distributions and ME distributions are expressed by Bayes-like formulas, including Negative Exponential Functions (NEFs) and partition functions. Why do
Chenguang Lu
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Noisy Knowledge Graph Representation Learning: a Rule-Enhanced Method [PDF]
Jisuanji kexue yu tansuo, 2023 Knowledge graphs are used to store structured facts, which are presented in the form of triples, i.e., (head entity, relation, tail entity). Current large-scale knowledge graphs are usually constructed with (semi-) automated methods for knowledge ...
SHAO Tianyang, XIAO Weidong, ZHAO Xiang
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Вестник Северо-Кавказского федерального университета, 2022 In the era of globalization and information exchange, the coexistence of cultures is becoming increasingly important. Learning the linguocultural component of a foreign language means immersion in foreign realities, symbols, styles of behavior, which are
O. Starinina
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