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Article

Sato, M., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Nakayama, H., Kraines, S. & Yarime, M. (2017). Quantifying the supplier-portfolio diversity of embodied energy: Strategic implications for strengthening energy resilience. Energy Policy 105, 41-52. 10.1016/j.enpol.2017.02.024.

Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Sato, M., Yarime, M., Nakayama, H., Yu, Y. & Kraines, S. (2015). Examining the resilience of national energy systems: Measurements of diversity in production-based and consumption-based electricity in the globalization of trade networks. Energy Policy 87, 455-464. 10.1016/j.enpol.2015.09.019.

Sato, M., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Nakayama, H., Kraines, S. & Yarime, M. (2015). The resilience of embodied energy networks: a critical dimension for Sustainable Development Goals (SDGs). Global Environmental Research 19 (2), 187-198.

Nakayama, H. (1996). Some remarks on dualization in vector optimization. Journal of Multi-Criteria Decision Analysis, 218-225.

Book Section

Wierzbicki, A.P. & Nakayama, H. (2000). Tools supporting choice. In: Model-based Decision Support Methodology with Environmental Applications. Eds. Wierzbicki, A. P., Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972 & Wessels, J., Dordrecht: Kluwer Academic Publishers. ISBN 0-7923-6327-2

Monograph

Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972 & Nakayama, H. (2001). Natural Environment Management and Applied Systems Analysis. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-01-021

Nakayama, H. (1994). Aspiration Level Approach to Interactive Multi-objective Programming and its Applications. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-112

Nakayama, H. (1986). Geometric Approach to Iserman Duality in Linear Vector Optimization. IIASA Collaborative Paper. IIASA, Laxenburg, Austria: CP-86-002

Nakayama, H. (1984). Duality in Linear Vector Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-84-086

Nakayama, H. & Orimo, M. (1984). A Primal-Dual Quasi-Newton Method for Constrained Optimization. IIASA Collaborative Paper. IIASA, Laxenburg, Austria: CP-84-044

Conference or Workshop Item

Kagaku, N., Nakayama, H. & Yoshida, M. (1996). Learning for pattern classification. In: Proceedings of EUFIT'96 - 4th European Congress on Intelligent Techniques and Soft Computing, 2-5 September 1996.