SET Proceedings 2978-4387 Caravel Press 10.65582/set.2008.287 2008.287 A Fuzzy AHP/DEA Hybrid Model for Allocating Energy R&D Resources Efficiently: In Case of Energy Technologies Against High Oil Prices LeeSeongkon sklee@kier.re.kr MogiGento mogi@tmi.t.u-tokyo.ac.jp KimJongwook jongwkim@kier.re.kr Energy Technology Policy Research Center, Energy Technology Policy Research Division, Korea Institute of Energy Research (KIER), Daejoen, Korea Department of Technology Management for Innovation (TMI), School of Engineering, The University of Tokyo, Tokyo, Japan Principal Researcher,Technology Analysis Center, Energy Technology Policy Research Division, Korea Institute of Energy Research(KIER), Daejoen, Korea 24082008 7 1 978-1-995850-08-5 2042 2049 24 August 2008 © 2008 Copyright WSSET 2008

To provide Korea’s energy security and sustainable development, KIER needs a long term strategic technology roadmap for energy R&D program. In this paper, we establish a strategic technology roadmap against high oil prices considering 5 criteria, which are economic impact, commercial potential, inner capacity, technical spin-off, and development cost. In this research, we suggest two-stage assessment model for measuring the relative efficiency of energy technologies against high oil prices. A fuzzy analytic hierarchy process, reflects the vagueness of human thoughts instead of crisp numbers, allocates the relative weights of criteria and data envelopment analysis measures the relative efficiency of energy technologies against high oil prices. With the scientific decision making approach, we can allocate R&D resources for well focused R&D outputs effectively.

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