Name
Abstract | ||
|---|---|---|
This paper proposes a novel fuzzy evidential rule-based (FERB) system to represent uncertain expert knowledge. The fuzzy evidential reasoning framework is introduced to model epistemic uncertainties including nonspecificity, vagueness, as well as local and global ignorance in the knowledge base. A computationally efficient formulation of the FERB system using an uncertain IF-THEN rule matrix is presented. Inference is performed through determining the fired rules followed by fuzzy Dempster-Shafer combination of activated belief structures. The application of the proposed FERB system is investigated using a case study of risk assessment for drinking water. Finally, the proposed FERB system is tested through data that were available for a water distribution network. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICSMC.2012.6378014 | Systems, Man, and Cybernetics |
Keywords | Field | DocType |
belief maintenance,fuzzy set theory,inference mechanisms,knowledge based systems,matrix algebra,risk management,sensor fusion,uncertainty handling,water supply,FERB system,IF-THEN rule matrix,belief structure,drinking water,epistemic uncertainty,expert knowledge,fuzzy Dempster-Shafer combination,fuzzy evidential rule-based system,global ignorance uncertainty,local ignorance uncertainty,multicriteria information fusion,nonspecificity uncertainty,risk assessment,vagueness uncertainty,water distribution network,conflict resolution,fuzzy evidential reasoning,ignorance,multicritera decision making,rule-based systems | Data mining,Rule-based system,Computer science,Inference,Fuzzy logic,Knowledge-based systems,Fuzzy set,Sensor fusion,Artificial intelligence,Knowledge base,Evidential reasoning approach,Machine learning | Conference |
ISSN | ISBN | Citations |
1062-922X | 978-1-4673-1712-2 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farzad Aminravan | 1 | 16 | 2.93 |
| Rehan Sadiq | 2 | 364 | 30.26 |
| Mina Hoorfar | 3 | 18 | 5.54 |
| Manuel J. Rodríguez | 4 | 27 | 3.76 |
| Homayoun Najjaran | 5 | 78 | 22.13 |