A fuzzy set theory approach to national composite S&;T indices |
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Authors: | Hye-Seon Moon Jeong-Dong Lee |
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Affiliation: | (1) Korea Institute of Science and Technology Evaluation and Planning, Dongwon Industry Bldg., 275, Yangjae-Dong, Seocho-Gu, Seoul, 137-130, South Korea;(2) Techno-Economics and Policy Program, Seoul National University, Seoul, South Korea |
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Abstract: | Summary Composite science and technology (S&T) indices are essential to overall understanding and evaluation of national S&T status, and to formulation of S&T policy. However, only a few studies on making these indices have been conducted so far since a number of complications and uncertainties are involved in the work. Therefore, this study proposes a new approach to employ fuzzy set theory and to make composite S&T indices, and applies it. The approach appears to successfully integrate various S&T indicators into three indices: R&D input, R&D output, and economic output. We also compare Koreas S&T indices with those of five developed countries (France, Germany, Japan, the United Kingdom, and the United States) to obtain some implications of the results for Koreas S&T. |
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