An Improved Belief Entropy and Its Application in Decision-Making
Joint Authors
Zhou, Deyun
Jiang, Wen
Tang, Yongchuan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Uncertainty measure in data fusion applications is a hot topic; quite a few methods have been proposed to measure the degree of uncertainty in Dempster-Shafer framework.
However, the existing methods pay little attention to the scale of the frame of discernment (FOD), which means a loss of information.
Due to this reason, the existing methods cannot measure the difference of uncertain degree among different FODs.
In this paper, an improved belief entropy is proposed in Dempster-Shafer framework.
The proposed belief entropy takes into consideration more available information in the body of evidence (BOE), including the uncertain information modeled by the mass function, the cardinality of the proposition, and the scale of the FOD.
The improved belief entropy is a new method for uncertainty measure in Dempster-Shafer framework.
Based on the new belief entropy, a decision-making approach is designed.
The validity of the new belief entropy is verified according to some numerical examples and the proposed decision-making approach.
American Psychological Association (APA)
Zhou, Deyun& Tang, Yongchuan& Jiang, Wen. 2017. An Improved Belief Entropy and Its Application in Decision-Making. Complexity،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1142863
Modern Language Association (MLA)
Zhou, Deyun…[et al.]. An Improved Belief Entropy and Its Application in Decision-Making. Complexity No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1142863
American Medical Association (AMA)
Zhou, Deyun& Tang, Yongchuan& Jiang, Wen. An Improved Belief Entropy and Its Application in Decision-Making. Complexity. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1142863
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142863