Diagnosis system based on rough sets analysis

Junzo Watada, Shamshul Bahar Yaakob

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Nowadays, power systems play an important role in the whole electric industry. Failures of such systems should result in serious social and economical damages. Therefore, the power systems should be highly reliable. This paper presents the method to build a new type of failure diagnosis system based on rough set theory. The testing data of power systems for their failure conditions are based on experts' evaluations with uncertainty, especially little knowledge and human experiences are available on power system failure diagnosis. The rough set theory plays a vital role in handling them.

    Original languageEnglish
    Title of host publicationProceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
    Pages47-50
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 - Shenzhen
    Duration: 2010 Dec 132010 Dec 15

    Other

    Other4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
    CityShenzhen
    Period10/12/1310/12/15

    Keywords

    • Expert system
    • Failure diagnosis
    • Power system
    • Rough set

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Theoretical Computer Science

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  • Cite this

    Watada, J., & Yaakob, S. B. (2010). Diagnosis system based on rough sets analysis. In Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 (pp. 47-50). [5715367] https://doi.org/10.1109/ICGEC.2010.20