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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shyue-Liang Wang Yi-Huey Wu |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Inf. Manage., I-Shou Univ., Kaohsiung, Taiwan (Shyue-Liang Wang) |
| Abstract | This paper presents a new incomplete reasoning technique in fuzzy production systems when the given input information is incomplete. Incomplete inputs normally infer no conclusive results from the rule bases. However, possible conclusions may be obtained if minimum number of missing facts are assumed to be true. Under fuzzy Petri net formalism for fuzzy production systems, the reachability set of the given incomplete input contains the potential conclusions. The potential missing inputs can be inferred by using fuzzy backward reasoning scheme on the reachability set. The final possible conclusions are drawn as those in the reachability set that require minimum number of missing facts assumed the be true. Since real decisions are typically made under incomplete input information, our algorithm provides another realistic application of fuzzy production systems. |
| Starting Page | 1557 |
| Ending Page | 1561 |
| File Size | 247860 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780354060 |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.1999.790136 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-08-22 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy reasoning Fuzzy systems Production systems Fuzzy sets Petri nets Fuzzy logic Information management Knowledge representation Expert systems Mathematical programming |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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