Maximum Relative Divergence Principle for Grading Functions on Direct Products of Chains

Published 24 Mar 2023 in math.OC and math.PR | (2303.14261v1)

Abstract: The concept of Shannon Entropy for probability distributions and associated Maximum Entropy Principle are extended here to the concepts of Relative Divergence of one Grading Function from another and Maximum Relative Divergence Principle for grading functions on direct products of totally ordered chains (chain bundles). Several Operations Research applications are analyzed.

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Authors (1)

Alexander Dukhovny

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