Information-Theoretic Analysis of Yager's Probability Negation

A recent study available on arXiv offers an in-depth information-theoretic examination of Yager's negation of probability distributions, a notion he introduced in 2015. This negation is characterized as a new distribution where each element is calculated as (1-p_i)/(n-1). Utilizing concepts from information theory and majorization theory, the authors aim to unify, enhance, and reinforce previously established attributes of this negation. They contend that their findings lend robust theoretical support to Yager's negation, positioning it as the most logical and principled definition based on various information-theoretic standards. This paper falls under the category of Computer Science > Information Theory and includes references and bibliographic management tools, contributing to the arXivLabs framework for community collaboration.