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Artificial Intelligence and Decision Making, 2009, Issue 4, Pages 3–14
(Mi iipr544)
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This article is cited in 4 scientific papers (total in 4 papers)
Group decision making
Methods for group classification of multi-attribute objects
A. B. Petrovskii Institute for Systems Analysis of Russian Academy of Sciences
Abstract:
The paper considers a new approach to group classification of objects, which are described with many qualitative attributes and may exist in several versions. New options of the multi-attribute objects’ aggregation and features of the classes generated are discussed. Clustering and sorting techniques are based on the theory of multiset metric spaces.
Keywords:
group classification, clustering, sorting, multi-attribute objects, multiset metric space.
Citation:
A. B. Petrovskii, “Methods for group classification of multi-attribute objects”, Artificial Intelligence and Decision Making, 2009, no. 4, 3–14; Scientific and Technical Information Processing, 37:5 (2010), 357–368
Linking options:
https://www.mathnet.ru/eng/iipr544 https://www.mathnet.ru/eng/iipr/y2009/i4/p3
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Statistics & downloads: |
Abstract page: | 13 | Full-text PDF : | 2 | References: | 1 |
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