The combination of different pieces of evidence using incidence calculus:
Abstract: "Combining multiple sources of information is a major and difficult task in the management of uncertainty. Dempster's combination rule is one of the attractive approaches. However, many researchers have pointed out that the application domains of the rule are rather limited and i...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Edinburgh
1992
|
| Series: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
599 |
| Subjects: | |
| Summary: | Abstract: "Combining multiple sources of information is a major and difficult task in the management of uncertainty. Dempster's combination rule is one of the attractive approaches. However, many researchers have pointed out that the application domains of the rule are rather limited and it sometimes gives unexpected results. In this paper, we have further explored the nature of combination and achieved the following main results. 1). The condition of combination in Dempster's original combination framework is more strict than that required by Dempster's combination rule in Dempster-Shafer theory of evidence. 2). Some counterintuitive results of using Dempster's combination rule shown in some papers are caused by the overlooking (or ignorance) of different independence conditions required by Dempster's original combination framework and Dempster's combination rule. 3). In Dempster's combination rule, combinations are performed at the target information level. This rule itself does not provide a combination mechanism at the original information level so that it is not able to combine the overlapped information. 4). An alternative approach to the combination of different pieces of evidence by using incidence calculus is proposed. In this approach different pieces of evidence are combined at both the original information level and the target information level rather than only at the target information level. 5). In this approach, we can combine not only independent pieces of evidence but also dependent pieces of evidence. 6). This new approach turns out to be consistent with traditional probability theory. It is more powerful than Dempster's combination rule at combining dependent evidence." |
| Physical Description: | 40 S. |
Staff View
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| 520 | 3 | |a Abstract: "Combining multiple sources of information is a major and difficult task in the management of uncertainty. Dempster's combination rule is one of the attractive approaches. However, many researchers have pointed out that the application domains of the rule are rather limited and it sometimes gives unexpected results. In this paper, we have further explored the nature of combination and achieved the following main results. 1). The condition of combination in Dempster's original combination framework is more strict than that required by Dempster's combination rule in Dempster-Shafer theory of evidence. 2). Some counterintuitive results of using Dempster's combination rule shown in some papers are caused by the overlooking (or ignorance) of different independence conditions required by Dempster's original combination framework and Dempster's combination rule. 3). In Dempster's combination rule, combinations are performed at the target information level. This rule itself does not provide a combination mechanism at the original information level so that it is not able to combine the overlapped information. 4). An alternative approach to the combination of different pieces of evidence by using incidence calculus is proposed. In this approach different pieces of evidence are combined at both the original information level and the target information level rather than only at the target information level. 5). In this approach, we can combine not only independent pieces of evidence but also dependent pieces of evidence. 6). This new approach turns out to be consistent with traditional probability theory. It is more powerful than Dempster's combination rule at combining dependent evidence." | |
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Record in the Search Index
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| any_adam_object | |
| author | Liu, Weiru Bundy, Alan |
| author_facet | Liu, Weiru Bundy, Alan |
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| author_sort | Liu, Weiru |
| author_variant | w l wl a b ab |
| building | Verbundindex |
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| ctrlnum | (OCoLC)32223091 (DE-599)BVBBV010459893 |
| discipline | Informatik |
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| id | DE-604.BV010459893 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:52Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006968843 |
| oclc_num | 32223091 |
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| owner_facet | DE-91G DE-BY-TUM |
| physical | 40 S. |
| publishDate | 1992 |
| publishDateSearch | 1992 |
| publishDateSort | 1992 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Liu, Weiru Verfasser aut The combination of different pieces of evidence using incidence calculus Weiru Liu and Alan Bundy Edinburgh 1992 40 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 599 Abstract: "Combining multiple sources of information is a major and difficult task in the management of uncertainty. Dempster's combination rule is one of the attractive approaches. However, many researchers have pointed out that the application domains of the rule are rather limited and it sometimes gives unexpected results. In this paper, we have further explored the nature of combination and achieved the following main results. 1). The condition of combination in Dempster's original combination framework is more strict than that required by Dempster's combination rule in Dempster-Shafer theory of evidence. 2). Some counterintuitive results of using Dempster's combination rule shown in some papers are caused by the overlooking (or ignorance) of different independence conditions required by Dempster's original combination framework and Dempster's combination rule. 3). In Dempster's combination rule, combinations are performed at the target information level. This rule itself does not provide a combination mechanism at the original information level so that it is not able to combine the overlapped information. 4). An alternative approach to the combination of different pieces of evidence by using incidence calculus is proposed. In this approach different pieces of evidence are combined at both the original information level and the target information level rather than only at the target information level. 5). In this approach, we can combine not only independent pieces of evidence but also dependent pieces of evidence. 6). This new approach turns out to be consistent with traditional probability theory. It is more powerful than Dempster's combination rule at combining dependent evidence." Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence Bundy, Alan Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 599 (DE-604)BV010450646 599 |
| spellingShingle | Liu, Weiru Bundy, Alan The combination of different pieces of evidence using incidence calculus Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence |
| title | The combination of different pieces of evidence using incidence calculus |
| title_auth | The combination of different pieces of evidence using incidence calculus |
| title_exact_search | The combination of different pieces of evidence using incidence calculus |
| title_full | The combination of different pieces of evidence using incidence calculus Weiru Liu and Alan Bundy |
| title_fullStr | The combination of different pieces of evidence using incidence calculus Weiru Liu and Alan Bundy |
| title_full_unstemmed | The combination of different pieces of evidence using incidence calculus Weiru Liu and Alan Bundy |
| title_short | The combination of different pieces of evidence using incidence calculus |
| title_sort | the combination of different pieces of evidence using incidence calculus |
| topic | Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence |
| topic_facet | Bionics and artificial intelligence Computer software Künstliche Intelligenz Artificial intelligence |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT liuweiru thecombinationofdifferentpiecesofevidenceusingincidencecalculus AT bundyalan thecombinationofdifferentpiecesofevidenceusingincidencecalculus |