Abstract
The paper presents a multi-method technology PAKS-M for a choice of objects with many numerical and/or verbal attributes. The technology provides an aggregation of object attributes by a reduction of the attribute space dimension; a construction of hierarchical systems of composite criteria and an integral index of quality; ordering and/or classification of objects using several decision making methods. This technology was applied for solving hard problems of multiple criteria decision making, in particular, the group multiple criteria selection of perspective computing complex.
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Acknowledgments
This work was supported by the Russian Foundation for Basic Research (projects 16-29-12864, 17-07-00512, 17-29-07021, 18-07-00132, 18-07-00280).
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Petrovsky, A.B. (2018). Hierarchical Aggregation of Object Attributes in Multiple Criteria Decision Making. In: Kuznetsov, S., Osipov, G., Stefanuk, V. (eds) Artificial Intelligence. RCAI 2018. Communications in Computer and Information Science, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-00617-4_12
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DOI: https://doi.org/10.1007/978-3-030-00617-4_12
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