Research on the Combination Method of Temporal Conflict Evidence Based on Transition Matrix
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Conflict evidence combination is an important research topic in evidence theory.
In this paper, two kinds of transition matrices are constructed based on the Markov model; one is the unordered transition matrix, which satisfies the commutative law, and the other is the temporal transition matrix, which does not satisfy the commutative law, but it can handle the combination of temporal evidence well.
Then, a temporal conflict evidence combination model is proposed based on these two transition matrices.
First, the transition probability at the first n time is calculated through the model of unordered transition probability, and then, the transition matrix from the N + 1 time is used to solve the combination problem of temporal conflict evidence.
The effectiveness of the transition matrix in the research of conflict evidence combination method is proved by the example analysis.
American Psychological Association (APA)
Wu, Bin& Yi, Xiao. 2020. Research on the Combination Method of Temporal Conflict Evidence Based on Transition Matrix. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1195176
Modern Language Association (MLA)
Wu, Bin& Yi, Xiao. Research on the Combination Method of Temporal Conflict Evidence Based on Transition Matrix. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1195176
American Medical Association (AMA)
Wu, Bin& Yi, Xiao. Research on the Combination Method of Temporal Conflict Evidence Based on Transition Matrix. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1195176
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195176