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Contracting and Involutive Negations of Probability Distributions

Ildar Z. Batyrshin
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Ildar Z. Batyrshin: Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de Mexico 07738, Mexico

Mathematics, 2021, vol. 9, issue 19, 1-11

Abstract: A dozen papers have considered the concept of negation of probability distributions (pd) introduced by Yager. Usually, such negations are generated point-by-point by functions defined on a set of probability values and called here negators. Recently the class of pd-independent linear negators has been introduced and characterized using Yager’s negator. The open problem was how to introduce involutive negators generating involutive negations of pd. To solve this problem, we extend the concepts of contracting and involutive negations studied in fuzzy logic on probability distributions. First, we prove that the sequence of multiple negations of pd generated by a linear negator converges to the uniform distribution with maximal entropy. Then, we show that any pd-independent negator is non-involutive, and any non-trivial linear negator is strictly contracting. Finally, we introduce an involutive negator in the class of pd-dependent negators. It generates an involutive negation of probability distributions.

Keywords: probability distribution; negation of probability distribution; contracting negation; involutive negation; linear negator; involutive negator; entropy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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