2016
DOI: 10.3390/e18040157
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Logical Entropy of Fuzzy Dynamical Systems

Abstract: 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. In particular, chain rules for logical entropy and for logical mutual information of fuzzy partitions are established. Using the concept of logical entropy of fuzzy partition we define the logical entropy of fuzzy dynamical systems. Finally, it is proved that the logical entropy of f… Show more

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Cited by 21 publications
(29 citation statements)
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“…In the paper by Markechová and Riečan [23], the notions of logical entropy and logical mutual information of fuzzy partitions in the given fuzzy probability space were introduced and studied. By means of the suggested concept of entropy of fuzzy partitions the authors have defined the logical entropy of fuzzy dynamical systems.…”
Section: Discussionmentioning
confidence: 99%
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“…In the paper by Markechová and Riečan [23], the notions of logical entropy and logical mutual information of fuzzy partitions in the given fuzzy probability space were introduced and studied. By means of the suggested concept of entropy of fuzzy partitions the authors have defined the logical entropy of fuzzy dynamical systems.…”
Section: Discussionmentioning
confidence: 99%
“…Thereby they obtained a new tool for distinction of non-isomorphic fuzzy dynamical systems, since, as it is proved in Theorem 12 of the cited paper, the logical entropy of fuzzy dynamical systems coincides on isomorphic fuzzy dynamical systems. It is noted that the definition of fuzzy dynamical systems (Ω, F, m, τ) considered in [23] is based on Zadeh's connectives.…”
Section: Discussionmentioning
confidence: 99%
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