An Improved Belief Entropy and Its Application in Decision-Making
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 informati...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/4359195 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849684252774367232 |
|---|---|
| author | Deyun Zhou Yongchuan Tang Wen Jiang |
| author_facet | Deyun Zhou Yongchuan Tang Wen Jiang |
| author_sort | Deyun Zhou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-be2ee8dc2c2d4ef59360f8c005d04b17 |
| institution | DOAJ |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-be2ee8dc2c2d4ef59360f8c005d04b172025-08-20T03:23:31ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/43591954359195An Improved Belief Entropy and Its Application in Decision-MakingDeyun Zhou0Yongchuan Tang1Wen Jiang2School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaUncertainty 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.http://dx.doi.org/10.1155/2017/4359195 |
| spellingShingle | Deyun Zhou Yongchuan Tang Wen Jiang An Improved Belief Entropy and Its Application in Decision-Making Complexity |
| title | An Improved Belief Entropy and Its Application in Decision-Making |
| title_full | An Improved Belief Entropy and Its Application in Decision-Making |
| title_fullStr | An Improved Belief Entropy and Its Application in Decision-Making |
| title_full_unstemmed | An Improved Belief Entropy and Its Application in Decision-Making |
| title_short | An Improved Belief Entropy and Its Application in Decision-Making |
| title_sort | improved belief entropy and its application in decision making |
| url | http://dx.doi.org/10.1155/2017/4359195 |
| work_keys_str_mv | AT deyunzhou animprovedbeliefentropyanditsapplicationindecisionmaking AT yongchuantang animprovedbeliefentropyanditsapplicationindecisionmaking AT wenjiang animprovedbeliefentropyanditsapplicationindecisionmaking AT deyunzhou improvedbeliefentropyanditsapplicationindecisionmaking AT yongchuantang improvedbeliefentropyanditsapplicationindecisionmaking AT wenjiang improvedbeliefentropyanditsapplicationindecisionmaking |