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

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

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  • URLhttps://db.koreascholar.com/Article/Detail/240955
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한국산업경영시스템학회지 (Journal of Society of Korea Industrial and Systems Engineering)
한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
초록

Currently, R&D investment of government is increased dramatically. However, the budget of the government is different depend- ing 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.

저자
  • 김동근(한국과학기술기획평가원) | Dong-Guen Kim
  • 천영돈(경기대학교 대학원 산업경영공학과) | Youngdon Cheon
  • 김성규(경기대학교 대학원 산업경영공학과) | Sungkyu Kim
  • 이윤빈(한국과학기술기획평가원) | Yoon Been Lee
  • 황지호(한국과학기술기획평가원) | Ji Ho Hwang
  • 김용수(경기대학교 산업경영공학과) | Yong Soo Kim Corresponding Author