A fuzzy set theory approach to national composite S&T indices

Hye-Seon Moon and Jeong-Dong Lee ()
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Hye-Seon Moon: Korea Institute of Science and Technology Evaluation and Planning

Scientometrics, 2005, vol. 64, issue 1, No 5, 67-83

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 Korea’s 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 Korea’s S&T.

Date: 2005
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DOI: 10.1007/s11192-005-0238-7

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