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| Content Provider | Springer Nature Link |
|---|---|
| Author | Qi, Guilin Glass, David H. Bell, David A. Liu, Weiru |
| Copyright Year | 2007 |
| Abstract | We propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the merging process. The merging approach consists of two steps: the splitting step and the combination step. The splitting step splits each knowledge base into two subbases and then in the second step, different classes of subbases are combined using different operators. Our merging approach is applied to knowledge bases which are self-consistent and results in a knowledge base which is also consistent. Two operators are proposed based on two different splitting methods. Both operators result in a possibilistic knowledge base which contains more information than that obtained by the t-conorm (such as the maximum) based merging methods. In the flat case, one of the operators provides a good alternative to syntax-based merging operators in classical logic. |
| Ending Page | 84 |
| Page Count | 40 |
| Starting Page | 45 |
| File Format | |
| ISSN | 10122443 |
| e-ISSN | 15737470 |
| Journal | Annals of Mathematics and Artificial Intelligence |
| Issue Number | 1-2 |
| Volume Number | 48 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2007-01-09 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Paraconsistent logics knowledge representation merging of knowledge bases inconsistency handling Knowledge representation Reasoning under uncertainty Computer Science Artificial Intelligence (incl. Robotics) Mathematics possibilistic logic Complexity |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence |
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