Fuzzy Ontology Reasoning for Power Transformer Fault Diagnosis
This paper presents a novel fuzzy ontology reasoner for power transformer fault diagnosis under a multi-agent framework. The developed ontology provides a comprehensive knowledge base as part of a multi-agent system to enable imprecision reasoning. It is the first time that a fuzzy ontology model...
Main Authors: | SAMIRMI, F. D., TANG, W., WU, Q. |
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Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2015-11-01
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Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2015.04015 |
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