DEA를 이용한 DMU의 클러스터링

• 영문명: Clustering of Decision Making Units using DEA
• 발행기관: 한국산업경영시스템학회
• 저자명: 김경택(Kyeong taek Kim)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2014년 추계학술대회 논문집, 73~76쪽, 전체 4쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2014.10.23

영문 초록

The conventional clustering approaches are mostly based on minimizing total dissimilarity of input and output. However, the clustering approach may not be helpful in some cases of clustering decision making units (DMUs). Data envelopment analysis (DEA) has been widely applied for efficiency estimation of DMUs. We propose a new clustering method to identify groups of DMUs that are similar.in terms of their input-output profiles. A real world example is given to explain the use and effectiveness of the proposed method. And we compare its result with the result of a conventional clustering method applied to the example.

목차

Abstract

1. 서론

2. DEA를 이용한 클러스터링

3. 적용 사례

4. 결론

참고문헌

키워드

DEA Clustering K-Means Clustering