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Approximation of Classification and Measures of Uncertainty in Rough Set on Two Universal Sets
보안공학연구지원센터(IJAST) International Journal of Advanced Science and Technology Vol.40 2012.03 pp.77-90
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
The notion of rough set captures indiscernibility of elements in a set. But, in many real life situations, an information system establishes the relation between different universes. This gave the extension of rough set on single universal set to rough set on two universal sets. In this paper, we introduce approximation of classifications and measures of uncertainty basing upon rough set on two universal sets employing the knowledge due to binary relations.
직교 다항식 근사법과 고차 통계를 이용한 전력 외란의 자동식별
[Kisti 연계] 제어로봇시스템학회 제어로봇시스템학회 학술대회논문집 1997 pp.1436-1439
※ 협약을 통해 무료로 제공되는 자료로, 원문이용 방식은 연계기관의 정책을 따르고 있습니다.
The objective of this paper is to present an efficient and practical approach to the automatic classification of power quality(PQ) disturbances, where and orthogonal polynomial approximation method is emloyed for the detection and localization of PQ disturbances, and a feature vector, newly extracted form the bispectra of the detected signal, is utilized for the automatic rectgnition of the various types of PQ disturbances. To demonstrae the performance and applicabiliyt of the proposed approach, some simulation results are provided.
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