Name
Abstract | ||
|---|---|---|
This paper proposes a fuzzy abductive inference with degrees of manifestation. The fuzzy logic is applied to Peng and Reggia's abductive inference for handling the manifestation degrees. This method infers irredundant combinations of candidates with degrees of belief for the manifestations. A learning algorithm for updating the fuzzy causations and t-conorm parameter is also presented in this paper. Application of the new method to a diagnostic problem is shown and the effectiveness of the proposed method is demonstrated. (C) 1998 John Wiley & Sons, Inc. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1002/(SICI)1098-111X(199806)13:6<467::AID-INT3>3.0.CO;2-J | INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS |
Field | DocType | Volume |
Computer science,Inference,Fuzzy logic,Expert system,Abductive logic programming,Abductive reasoning,Artificial intelligence,Adaptive neuro fuzzy inference system,Systems architecture,Machine learning | Journal | 13 |
Issue | ISSN | Citations |
6 | 0884-8173 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yujiro Miyata | 1 | 7 | 1.25 |
| Takeshi Furuhashi | 2 | 1 | 1.03 |
| Yoshiki Uchikawa | 3 | 455 | 72.31 |