Fuzzy integrated analytic hierarchy process approach for selecting strategic big-sized R&D programs in the sector of energy technology development

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Lee, S. K., Mogi, G., Koike, M., Hui, K. S. ORCID: https://orcid.org/0000-0001-7089-7587 and Kim, J. W. (2009) Fuzzy integrated analytic hierarchy process approach for selecting strategic big-sized R&D programs in the sector of energy technology development. In: IEEE International Conference on Fuzzy Systems. The Institute of Electrical and Electronics Engineers (IEEE), KOR, pp. 1432-1438. ISBN 9781424435975

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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.

Item Type: Book Section
Uncontrolled Keywords: sdg 7 - affordable and clean energy,sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy
Faculty \ School: Faculty of Science > School of Mathematics (former - to 2024)
UEA Research Groups: Faculty of Science > Research Groups > Energy Materials Laboratory
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Depositing User: Pure Connector
Date Deposited: 04 Oct 2016 12:03
Last Modified: 24 Sep 2024 08:04
URI: https://ueaeprints.uea.ac.uk/id/eprint/60739
DOI: 10.1109/FUZZY.2009.5277144

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