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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 81 - 92 (12page)
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This study suggests 5 evaluation criteria (safety and technology, environmental impact, economic feasibility, socialfactors, and institutional factors) and 24 evaluation indicators for a NFC (nuclear fuel cycle) derived using factor analysis.
To do so, a survey using 1 on 1 interview was given to nuclear energy experts and local residents who live near nuclearpower plants. In addition, by conducting a factor analysis, homogeneous evaluation indicators were grouped with the sameevaluation criteria, and unnecessary evaluation criteria and evaluation indicators were dropped out.
As a result of analyzing the weight of evaluation criteria with the sample of nuclear power experts and the general public,both sides recognized safety as the most important evaluation criterion, and the social factors such as public acceptanceappeared to be ranked as more important evaluation criteria by the nuclear energy experts than the general public.
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참고문헌 (25)
참고문헌 신청
Alexey Lokhov / 2013 / OECD /NEA study on the economics of the back-end of nuclear fuel cycle / Proceedings of ICAPP
Angela Montanari / 2008 / Independent factor discriminant analysis / Computational Statistics &Data Analysis 52 : 3246 ~ 3254
D. E. Shropshire / 2009 / Advanced Fuel Cycle Cost Basis : 31 ~ 35
Deborah Helitzer / 2010 / Evaluation for community-based programs: The integration of logic models and factor analysis / Evaluation and Program Planning 33 : 223 ~ 233
Donald Robertsona / 2007 / Maximum likelihood factor analysis with rank-deficient sample covariance matrices / Journal of Multivariate Analysis 98 : 813 ~ 828
Angela Montanari / 2008 / Independent factor discriminant analysis / Computational Statistics &Data Analysis 52 : 3246 ~ 3254
D. E. Shropshire / 2009 / Advanced Fuel Cycle Cost Basis : 31 ~ 35
Deborah Helitzer / 2010 / Evaluation for community-based programs: The integration of logic models and factor analysis / Evaluation and Program Planning 33 : 223 ~ 233
Donald Robertsona / 2007 / Maximum likelihood factor analysis with rank-deficient sample covariance matrices / Journal of Multivariate Analysis 98 : 813 ~ 828
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