Some Theorems for Inverse Uncertainty Distribution of Uncertain Processes

Autor: Xiumei Chen, Yufu Ning, Lihui Wang, Shuai Wang, Hong Huang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Symmetry, Vol 14, Iss 1, p 14 (2021)
Druh dokumentu: article
ISSN: 2073-8994
DOI: 10.3390/sym14010014
Popis: In real life, indeterminacy and determinacy are symmetric, while indeterminacy is absolute. We are devoted to studying indeterminacy through uncertainty theory. Within the framework of uncertainty theory, uncertain processes are used to model the evolution of uncertain phenomena. The uncertainty distribution and inverse uncertainty distribution of uncertain processes are important tools to describe uncertain processes. An independent increment process is a special uncertain process with independent increments. An important conjecture about inverse uncertainty distribution of an independent increment process has not been solved yet. In this paper, the conjecture is proven, and therefore, a theorem is obtained. Based on this theorem, some other theorems for inverse uncertainty distribution of the monotone function of independent increment processes are investigated. Meanwhile, some examples are given to illustrate the results.
Databáze: Directory of Open Access Journals
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