Developing a Knowledge-Based System Using Rough Set Theory and Genetic Algorithms for Substation Fault Diagnosis

DOI10.1007/978-3-540-89921-1_11zbMath1188.68079OpenAlexW42508739MaRDI QIDQ3628700

Simon J. Watson, Dean Millar, Ching-Lai Hor, Peter A. Crossley

Publication date: 20 May 2009

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-89921-1_11

zbMATH Keywords

Supervisory Control and Data Acquisition

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Reliability, testing and fault tolerance of networks and computer systems (68M15)

Cites Work

• Rough set approach to knowledge-based decision support
• Transactions on Rough Sets III
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