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Small Business Research and Development Assessment System based on Fuzzy-AHP

Fuzzy-AHP 기반 중소기업 R&D 평가 시스템

  • Park, Seong-Ho (Department of Computer Science & Engineering, Kongju National University) ;
  • Oh, Jae-Taek (Department of Computer Science & Engineering, Kongju National University) ;
  • Lee, Sang-Yong (Division of Computer Science & Engineering, Kongju National University)
  • 박성호 (공주대학교 컴퓨터공학과) ;
  • 오재택 (공주대학교 컴퓨터공학과) ;
  • 이상용 (공주대학교 컴퓨터공학부)
  • Received : 2020.06.08
  • Accepted : 2020.09.20
  • Published : 2020.09.28

Abstract

There is a system of mandating the allocation of support to small business in certain percentage or more to facilitate technological innovation at small business. Trying to assess small business R&D projects, which receive a budget of three trillion won or more from the government every year, for their possibilities of success, a group of experts perform a technological evaluation with their technologies and their difficulty levels and review closely the possibilities of their commercialization and success. Used in such a review, the Analytic Hierarchy Process technique cannot make an objective judgment of evaluation criteria for evaluation items and guarantee the professionalism and fairness of small business R&D projects due to the inherent ambiguity and uncertainty of the evaluation criteria. This study proposed an R&D evaluation system based on Fuzzy-AHP for small business to provide objective weight for the evaluation items and assess the possibilities of such projects' success. The evaluation criteria were make objective as they were applied as section values based on triangular fuzzy numbers. Weight was assigned and applied according to the management guidelines of supportive projects for small business' technological development so that it could be reflected on actual assessment. The findings of the study will be helpful for reflecting the scoring weight of these evaluation items again when an expert is appointed for a new project and guaranteeing the professionalism and fairness of small business R&D project based on them.

현재 중소기업의 기술혁신을 촉진하기 위해 일정 비율 이상을 중소기업에 의무적으로 지원하도록 제도화하고 있다. 이에 따라 매년 3조원 이상의 정부 예산이 투입되는 중소기업 R&D 사업의 성공 가능성 여부를 판단하기 위하여 전문가의 기술적인 평가를 통해 해당 기술의 기술적 난이도에 대한 상용화 및 성공 가능성을 면밀히 검토하게 된다. 이를 검토하기 위한 방법으로 AHP(Analytic Hierarchy Process) 기법은 평가 항목에 대한 평가 기준을 객관적으로 판단할 수 없었으며, 해당 평가 기준이 모호성 및 불확실성이 내포되어 있어 중소기업 R&D 사업의 전문성 및 공정성을 확보할 수 없었다. 본 연구에서는 중소기업 R&D 사업의 성공 가능성을 판단할 수 있도록 평가 항목에 대한 가중치를 객관적으로 제시할 수 있는 Fuzzy-AHP 기반 중소기업 R&D 평가 시스템을 제안하였다. 삼각 퍼지 수를 이용하여 해당평가 기준을 구간 값으로 적용하여 객관화하였으며, 중소기업 기술개발 지원사업 관리지침에 따른 가중치를 배정하여 실제 평가에 반영될 수 있도록 이를 적용하였다. 본 연구를 통해 새로운 사업에 대한 전문가를 위촉하였을 때 위의 평가항목의 배점 가중치를 재반영할 수 있으며, 이를 이용하여 중소기업 R&D 사업의 전문성 및 공정성을 확보할 수 있을 것이다.

Keywords

References

  1. H. I. Lee & H. J. Yoo. (2019). 2019 Korea Institute of S&T Evaluation and Planning. Seoul: KISTEP.
  2. S. W. Kim & J. W. Kim. (2020). A Study on the Improvement of R&D Support for Small and Medium Business for Innovation Growth. Science & Technology Policy Institute, 249, 1-41.
  3. J. M. Choi & D. M. Lee. (2017). A Study on National R&D Project Proposal Evaluation Indicator for Small-Medium Business - Focusing on R&D Project for Support Marine SMEs. Ocean Policy Research, 32(2), 169-189. https://doi.org/10.35372/kmiopr.2017.32.2.007
  4. S. H. Park, J. T. Oh & S. Y. Lee. (2020). An AHP-based Assessment Criteria Decision System for National Research and Development Task. Journal of Digital Convergence, 18(5), 405-410. https://doi.org/10.14400/JDC.2020.18.5.405
  5. E. Kinoshita, T. Oya. (2012). Strategic Decision Making - AHP. Seoul: Cheong Ram.
  6. G. T. Cho, Y. G. Cho, H. S. Kang. (2005). The Analytic Hierarchy Process. Seoul: Dong Hyun.
  7. G. Barbara & B. Antonio. (2006). Managing Risks in the Supply Chain using the AHP Method. The International Journal of Logistics Management, 17(1), 114-136. https://doi.org/10.1108/09574090610663464
  8. N. G. Park, H. R. Choi & C. S. Lee. (2004). The Operating Objective of Automated Container Terminal by the AHP Techniques. Journal of Shipping and Logistics, 40, 113-130.
  9. S. W. Mo & C. B. Kim. (2012). A Relative Importance Evaluation of the Industrial Sector According to the FTA using AHP and Fuzzy-AHP. Journal of Industrial Economics and Business, 25(2), 1827-1842.
  10. Y. J. Park. (2013). Analyzing the Efficiency of SCM using Fuzzy-AHP/DEA. Doctoral Dissertation. Yonsei University, Seoul.
  11. D. Y. Chang. (1996). Applications of the Extent Analysis Method on Fuzzy AHP. European Journal of Operational Research, 95(3), 649-655. https://doi.org/10.1016/0377-2217(95)00300-2
  12. H. S. Joun & S. Y. Lee. (2015). Technical Entrepreneurship Education Service Quality Evaluation System based on FAHP. Journal of Digital Convergence, 15(2), 509-516.
  13. H. J. Ko. (2010). A Study on Determining the Priority of Investment Projects for India's Logistics Market using Fuzzy-AHP. Journal of Korea Port Economics Association, 26(2), 1-18.
  14. P. J. M. Laarhoven & W. Pedrycz. (1983). A Fuzzy Extension of Satty's Priority Theory. Fuzzy Sets and Systems, 11, 229-241. https://doi.org/10.1016/S0165-0114(83)80083-9
  15. M. S. D. Putra, S. Andryana, Fauziah & A. Gunaryati. (2018). Fuzzy Analytical Hierarchy Process Method to Determine the Quality of Gemstones. Hindawi Advances in Fuzzy Systems, 2018, 1-6.
  16. Y. S. Park, T. G. Park (2001). Fuzzy Decision-Making Theory. Seoul: JaYu Academy.