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MAXIMUM ENTROPY PRINCIPLE FOR FUZZY VARIABLES
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007The concept of fuzzy entropy is used to provide a quantitative measure of the uncertainty associated with every fuzzy variable. This paper proposes the maximum entropy principle for fuzzy variables, that is, out of all the membership functions satisfying given constraints, choose the one that has maximum entropy.
Xiang Li 0006, Baoding Liu
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MAXIMUM ENTROPY PRINCIPLE AND THE LOGISTIC MODEL
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1999This paper proposes the use of the maximum entropy principle to construct a probability model under constraints for the analysis of dichotomous data using the odds ratio adjusted for covariates. It gives a new understanding of the now famous logistic model.
Raymond Leblanc, Stanley Shapiro
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2013
Prigogine and Wiame noticed correctly that biological processes are irreversible and as such should be described within irreversible thermodynamics. They took the entropy production as the basic quantity for the description of biological processes. In contrast to Prigogine.
Juretić, Davor, Županović, Paško
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Prigogine and Wiame noticed correctly that biological processes are irreversible and as such should be described within irreversible thermodynamics. They took the entropy production as the basic quantity for the description of biological processes. In contrast to Prigogine.
Juretić, Davor, Županović, Paško
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1989
In Section 1.1, we alluded to the principle that titles this chapter. The idea of this principle, as we said there, is to assign probabilities in such a way that the resulting distribution contains no more information than is inherent in the data. The first attempt to do this was by Laplace and was called the “Principle of Insufficient Reason.” This ...
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In Section 1.1, we alluded to the principle that titles this chapter. The idea of this principle, as we said there, is to assign probabilities in such a way that the resulting distribution contains no more information than is inherent in the data. The first attempt to do this was by Laplace and was called the “Principle of Insufficient Reason.” This ...
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Principle of Maximum Entropy and Reduced Dynamics
Journal of Statistical Physics, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The maximum entropy principle: a tool to define new entropies
Reports on Mathematical Physics, 1988zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Forte, B., Hughes, W.
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Analysis of the maximum entropy principle ?debate?
Foundations of Physics, 1978Jaynes's maximum entropy principle (MEP) is analyzed by considering in detail a recent controversy. Emphasis is placed on the inductive logical interpretation of “probability” and the concept of “total knowledge.” The relation of the MEP to relative frequencies is discussed, and a possible realm of its fruitful application is noted.
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The principle of maximum entropy
Abstract Shannon quantifies the information-carrying capacity of a channel. He connects this with the probabilities of the next letter being a or b, … and shows that Gibbs’s entropy of this probability distribution is the correct measure of the channel’s capacity.openaire +1 more source
Adaptive Applications of Maximum Entropy Principle
Advances in Intelligent Systems and Computing, 2021Dilip Senapati +2 more
exaly