Diagnosis system based on rough sets analysis

Junzo Watada; Shamshul Bahar Yaakob

doi:10.1109/ICGEC.2010.20

Diagnosis system based on rough sets analysis

Junzo Watada^*, Shamshul Bahar Yaakob

^*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
ページ	47-50
ページ数	4
DOI	https://doi.org/10.1109/ICGEC.2010.20
出版ステータス	Published - 2010
イベント	4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 - Shenzhen 継続期間: 2010 12月 13 → 2010 12月 15

Other

Other	4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
City	Shenzhen
Period	10/12/13 → 10/12/15

ASJC Scopus subject areas

計算理論と計算数学
理論的コンピュータサイエンス

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10.1109/ICGEC.2010.20

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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.",

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AB - 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.

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ER -

Diagnosis system based on rough sets analysis

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