Items where IIASA Author is "Nakamori, Yoshiteru"

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Number of items: 34.

Ren, H., Tian, J., Wierzbicki, A.P., Nakamori, Y. & Klimasara, E. (2012). Ontology construction and its applications in local research communities. In: Modeling for Decision Support in Network-Based Services. Eds. Dolk, D & Granat, J, Heidelberg: Springer. DOI:10.1007/978-3-642-27612-5_12.

Yan, J., Ma, T. & Nakamori, Y. (2011). Exploring the triple helix of academia-industry-government for supporting roadmapping in academia. International Journal of Management and Decision Making 11 (3): 249-267. DOI:10.1504/IJMDM.2011.040702.

Nie, K., Lin, S., Ma, T. & Nakamori, Y. (2010). Connecting informal networks to management of tacit knowledge. Journal of Systems Science and Systems Engineering 19 (2): 237-253. DOI:10.1007/s11518-010-5130-1.

Ma, T. & Nakamori, Y. (2009). Modeling technological change in energy systems -- From optimization to agent-based modeling. Energy 34 (7): 873-879. DOI:10.1016/j.energy.2009.03.005.

Ma, T., Grubler, A. & Nakamori, Y. (2009). Modeling technology adoptions for sustainable development under increasing returns, uncertainty, and heterogeneous agents. European Journal of Operational Research 195 (1): 296-306. DOI:10.1016/j.ejor.2008.01.036.

Ma, T. & Nakamori, Y. (2008). Modeling uncertainties of technological learning with stochastic optimization. In: Proceedings, 9th International Symposium on Knowledge and Systems Sciences, 11-12 December.

Ma, T. & Nakamori, Y. (2008). Coping with uncertainties in endogenous technological change models. Workshop presentaion, IFIP WG 7.6 Workshop on Modelling and decision support for network-based services, 1-3 September 2008, Warsaw, Poland

Nie, K., Ma, T. & Nakamori, Y. (2007). Building a taxonomy for understanding knowledge management. Electronic Journal of Knowledge Management 5 (4): 453-466.

Ma, T., Wierzbicki, A.P. & Nakamori, Y. (2007). Establish a creative environment for roadmapping in academy - From the perspective of i-system methodology. Journal of Systems Science and Systems Engineering 16 (4): 469-488. DOI:10.1007/s11518-007-5047-5.

Ma, T., Wierzbicki, A. & Nakamori, Y. (2007). Establish a creative environment for roadmapping in academy—From the perspective of i-system methodology. Journal of Systems Science and Systems Engineering 16 (4): 469-488. DOI:10.1007/s11518-007-5047-5.

Ma, T. & Nakamori, Y. (2007). Agent-based simulation for Kansei Engineering: Testing a fuzzy linear quantification method in an artificial world. Journal of Systems Science and Systems Engineering 16 (3): 308-322. DOI:10.1007/s11518-007-5055-5.

Ren, H., Tian, J., Nakamori, Y. & Wierzbicki, A.P. (2007). Electronic support for knowledge creation in a research institute. Journal of Systems Science and Systems Engineering 16 (2): 235-253. DOI:10.1007/s11518-007-5046-6.

Ma, T. & Nakamori, Y. (2007). Agent-based modeling and simulation on network externality and knowledge strategy. International Journal of Knowledge and Systems Sciences 4 (1): 25-30.

Ren, H., Wierzbicki, A.P., Tian, J. & Nakamori, Y. (2007). Creative environments for scientific research in a research institute. International Journal of Knowledge and Systems Sciences 4 (2): 35-47.

Ma, T., Yan, J., Nakamori, Y. & Wierzbicki, A.P. (2007). Creativity Support for Roadmapping. In: Creative Environments: Issues of Creativity Support for the Knowledge Civilization Age. Eds. Wierzbicki, A. & Nakamori, Y., pp. 155-189 Springer. ISBN 978-3-540-71466-8 DOI:10.1007/978-3-540-71562-7_7.

Ma, T., Yan, Y. & Nakamori, Y. (2007). Roadmapping and i-systems. In: Computational Science - ICCS 2007. Eds. Shi, Y., Aldaba, G.D. van, Dongara, J. & Sloot, P.M.A., Germany pp.1-8 (2007): Springer Berlin/Heidelberg. ISBN 978-3-540-72589-3 DOI:10.1007/978-3-540-72590-9_1.

Purwasih, W., Makowski, M., Nakamori, Y. & Yoshida, T. (2006). Documenting a model structure by diagram. Journal of Knowledge and Systems Sciences 3 (4): 60-67.

Ma, T., Liu, S. & Nakamori, Y. (2006). Roadmapping as a way of knowledge management for supporting scientific research in academia. Systems Research and Behavioral Science 23 (6): 743-755. DOI:10.1002/sres.708.

Ma, T., Nakamori, Y. & Huang, W. (2006). An agent-based approach for predictions based on multi-dimensional complex data. Information Sciences 176 (9): 1156-1174. DOI:10.1016/j.ins.2005.07.011.

Makowski, M., Nakamori, Y. & Wierzbicki, A.P. (2006). Decision support versus knowledge creation support. In: Creative Space: Models of Creative Processes for Knowledge Civilization Age. Eds. Wierzbicki, A. & Nakamori, Y., Berlin: Springer-Verlag. ISBN 3-540-28458-3 DOI:10.1007/b137889.

Makowski, M., Nakamori, Y. & Sebastian, H.-J. (2005). Advances in complex system modeling. European Journal of Operational Research 166 (3): 593-596. DOI:10.1016/j.ejor.2004.07.001.

Makowski, M., Wang, Z., Nakamori, Y. & Wu, J. (2005). KSS'2005 IIASA. In: The 6th International Symposium on Knowledge and Systems Science, 29-31 August, 2005.

Ma, T. & Nakamori, Y. (2005). Roadmapping and i-systems for supporting scientific research. International Journal of Knowledge and Systems Sciences 2 (1): 66-72.

Ryoke, M., Nakamori, Y., Heyes, C., Makowski, M. & Schoepp, W. (2000). A Simplified Ozone Model Based on Fuzzy Rules Generation. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-00-007. Reprinted from European Journal of Operations Research, 122:440-451 [2000].

Ryoke, M., Nakamori, Y., Heyes, C., Makowski, M. & Schoepp, W. (2000). A simplified ozone model based on fuzzy rules generation. European Journal of Operational Research 122 (2): 440-451. DOI:10.1016/S0377-2217(99)00245-3.

Ryoke, M., Tamura, H. & Nakamori, Y. (1996). Fuzzy modeling through adaptive fuzzy clustering. In: Proceedings of EUFIT'96 - 4th European Congress on Intelligent Techniques and Soft Computing, 2-5 September 1996.

Ryoke, M., Tamura, H. & Nakamori, Y. (1996). Fuzzy rule generation by hyperellipsoidal clustering. In: Proceedings of IIZUKA'96 - The Fourth International Conference on Soft Computing, 30 September - 5 October 1996.

Nakamori, Y. & Ryoke, M. (1994). Identification of fuzzy prediction models through hyperellipsoidal clustering. IEEE Transactions on Systems, Man and Cybernetics 24 (8): 1153-1173. DOI:10.1109/21.299699.

Kainuma, M. & Nakamori, Y. (1994). Air pollution prediction model. Fuzzy Science: 213-235.

Sawaragi, Y. & Nakamori, Y. (1989). "Shinayakana" Systems Approach in Developing an Urban Environment Simulator. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-89-008

Nakamori, Y. & Sawaragi, Y. (1987). Modeling Support System for Systems Analytic Research. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-87-024

Sawaragi, Y., Fukawa, H., Ryobu, M. & Nakamori, Y. (1986). Toward Advanced Computer-Assisted Modeling. IIASA Collaborative Paper. IIASA, Laxenburg, Austria: CP-86-017

Walsum, P.E.V. van & Nakamori, Y. (1985). Simplification of a Comprehensive Hydrological Model for Scenario Analysis. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-85-092

Nakamori, Y., Ryobu, M., Fukawa, H. & Sawaragi, Y. (1985). An Interactive Modeling Support System (IMSS). IIASA Working Paper. IIASA, Laxenburg, Austria: WP-85-077

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