구간 데이터를 위한 가변정밀도 러프집합 모형

• 영문명: A Variable Precision Rough Set Model for Interval data
• 발행기관: 한국산업경영시스템학회
• 저자명: 김경택(Kyeongtaek Kim)
• 간행물 정보: 『산업경영시스템학회지』제34권 제2호, 30~34쪽, 전체 5쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2011.06.30

영문 초록

Variable precision rough set models have been successfully applied to problems whose domains are discrete values. However, there are many situations where discrete data is not available. When it comes to the problems with interval values, no variable precision rough set model has been proposed. In this paper, we propose a variable precision rough set model for interval values in which classification errors are allowed in determining if two intervals are same. To build the model, we define equivalence class, upper approximation, lower approximation, and boundary region. Then, we check if each of 11 characteristics on approximation that works in Pawlak’s rough set model is valid for the proposed model or not.

목차

1. 서론

2. 구간 값을 갖는 가변정밀도 러프집합모형

3. 구간 값을 갖는 가변정밀도 러프집합모형의 특성

4. 결론 및 향후 연구과제

참고문헌

키워드

Variable Precision Rough Set Model Interval Values Classification Error