The negation of permutation mass function

Fuente: arXiv
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Autores principales: Tang, Yongchuan, Li, Rongfei
Formato: Preprint
Publicado: 2024
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author Tang, Yongchuan
Li, Rongfei
author_facet Tang, Yongchuan
Li, Rongfei
contents Negation is an important perspective of knowledge representation. Existing negation methods are mainly applied in probability theory, evidence theory and complex evidence theory. As a generalization of evidence theory, random permutation sets theory may represent information more precisely. However, how to apply the concept of negation to random permutation sets theory has not been studied. In this paper, the negation of permutation mass function is proposed. Moreover, in the negation process, the convergence of proposed negation method is verified. The trends of uncertainty and dissimilarity after each negation operation are investigated. Numerical examples are used to demonstrate the rationality of the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2403_06483
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The negation of permutation mass function
Tang, Yongchuan
Li, Rongfei
Artificial Intelligence
Information Theory
Negation is an important perspective of knowledge representation. Existing negation methods are mainly applied in probability theory, evidence theory and complex evidence theory. As a generalization of evidence theory, random permutation sets theory may represent information more precisely. However, how to apply the concept of negation to random permutation sets theory has not been studied. In this paper, the negation of permutation mass function is proposed. Moreover, in the negation process, the convergence of proposed negation method is verified. The trends of uncertainty and dissimilarity after each negation operation are investigated. Numerical examples are used to demonstrate the rationality of the proposed method.
title The negation of permutation mass function
topic Artificial Intelligence
Information Theory
url https://arxiv.org/abs/2403.06483