DocumentCode :
1623966
Title :
Fuzzy integrated analytic hierarchy process approach for selecting strategic big-sized R&D programs in the sector of energy technology development
Author :
Lee, S.K. ; Mogi, G. ; Koike, M. ; Hui, K.S. ; Kim, J.W.
Author_Institution :
Korea Inst., Energy Res.´´s Energy Policy Res. Center, Daejeon, South Korea
fYear :
2009
Firstpage :
1432
Lastpage :
1438
Abstract :
Energy environment has been changing rapidly such as the fluctuation of oil prices and the effect on UNFCCC (United nations framework convention on climate change). Korea is easily affected by the change of oil prices due to poor natural resources and large dependence of consumed energy resources in Korea. Energy technology development is a crucial key considering Korea´s national energy security and environments. In this study, we establish the criteria list and prioritize relative weights of criteria and sub-criteria for assessing and selecting strategic Big-sized R&D programs in the sector of energy technology development. A fuzzy AHP approach, which integrates fuzzy theory into analytic hierarchy process (AHP) approach, reflects the vagueness of human thoughts and perception as making pairwise comparisons of criteria and alternatives. The fundamental data of this research results will support R&D planning phase for policy makers as selecting strategic R&D programs for producing well focused R&D outcomes.
Keywords :
energy resources; fuzzy set theory; research and development management; strategic planning; energy technology development; fuzzy AHP; fuzzy integrated analytic hierarchy process; fuzzy theory; research and development; strategic planning; Decision making; Electronic mail; Energy resources; Government; Humans; National security; Petroleum; Power engineering and energy; Research and development; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
ISSN :
1098-7584
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2009.5277144
Filename :
5277144
Link To Document :
بازگشت