DOI QR코드

DOI QR Code

회귀분석 및 의사결정나무 분석을 통한 R&D 연구비 추정에 관한 연구

A Study on Estimation of R&D Research Funds by Linear Regression and Decision Tree Analysis

  • 김동근 (한국과학기술기획평가원) ;
  • 천영돈 (경기대학교 대학원 산업경영공학과) ;
  • 김성규 (경기대학교 대학원 산업경영공학과) ;
  • 이윤빈 (한국과학기술기획평가원) ;
  • 황지호 (한국과학기술기획평가원) ;
  • 김용수 (경기대학교 산업경영공학과)
  • Kim, Dong-Guen (Korea Institute of Science and Technology Evaluation and Planning) ;
  • Cheon, Youngdon (Department of Industrial and Management Engineering, Graduate School, Kyonggi University) ;
  • Kim, Sungkyu (Department of Industrial and Management Engineering, Graduate School, Kyonggi University) ;
  • Lee, Yoon Been (Korea Institute of Science and Technology Evaluation and Planning) ;
  • Hwang, Ji Ho (Korea Institute of Science and Technology Evaluation and Planning) ;
  • Kim, Yong Soo (Department of Industrial and Management Engineering, Kyonggi University)
  • 투고 : 2012.07.31
  • 심사 : 2012.09.27
  • 발행 : 2012.12.31

초록

Currently, R&D investment of government is increased dramatically. However, the budget of the government is different depending on the size of ministry and priorities, and then it is difficult to obtain consensus on the budget. They did not establish decision support systems to evaluate and execute R&D budget. In this paper, we analyze factors affecting research funds by linear regression and decision tree analysis in order to increase investment efficiency in national research project. Moreover, we suggested strategies that budget is estimated reasonably.

키워드

참고문헌

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피인용 문헌

  1. 연구 분야 및 지원기관에 따른 연구비 영향 요인에 관한 연구 vol.41, pp.1, 2012, https://doi.org/10.7469/jksqm.2013.41.1.163