A survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
D-S evidence theory can lead to inefficiencies when handling highly conflicting evidence.
“One significant advantage of D-S evidence theory in merging independent evidence is that it does not require prior knowledge, but this can also lead to inefficiencies when handling highly conflicting evidence25.”
From Intelligent evaluation of coal mine solid filling effect using fuzzy logic and improved D-S evidence theory (2025) · cites this paper as [25]
D-S evidence theory does not require prior knowledge.
“One significant advantage of D-S evidence theory in merging independent evidence is that it does not require prior knowledge, but this can also lead to inefficiencies when handling highly conflicting evidence25.”
From Intelligent evaluation of coal mine solid filling effect using fuzzy logic and improved D-S evidence theory (2025) · cites this paper as [25]
Cited by
Sorted by citations
Zhang, Z., Yang, S., & Liu, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-88913-5
- Authors
- Zhao, K., Li, L., Chen, Z., Sun, R., Yuan, G., & Li, J.
- Affiliations
- China Agricultural University (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Corresponding author
- Sun, Ruizhi
- Yuan, Gang
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2022-07
- Volume
- 124
- Pages
- 109075
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W4281807633
- Cited by
- 150
- References
- 0
- Citations by year
- 2026: 37 · 2025: 31 · 2024: 39 · 2023: 33 · 2022: 10
- FWCI
- 17.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Applied Soft Computing (publishedVersion)
- Funders
- China Agricultural University (2016YFB0501805-1, JZNYYY001)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Computer Science › Information Systems › Advanced Decision-Making Techniques
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Rough Sets and Fuzzy Logic
- Keywords
- Dempster-Shafer theory, evidence combination, conflicting evidence, data fusion, fault diagnosis, risk analysis, target tracking, wireless sensor networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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