Research on the Combination Method of Temporal Conflict Evidence Based on Transition Matrix

Joint Authors

Wu, Bin
Yi, Xiao

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

Civil Engineering

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