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Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2012, Issue 4, Pages 104–115 (Mi iipr450)  
This article is cited in 7 scientific papers (total in 7 papers)

Multi-criteria analysis of decisons

Stepclass-based approach to multicriteria sorting

E. M. Furems

Institute for Systems Analysis of Russian Academy of Sciences
Full-text PDF (441 kB) Citations (7)
Abstract: Multicriteria sorting on the basis of Decision maker’s preferences is under consideration. Strengths and weaknesses of existing methods based on the Verbal Decision Analysis are analyzed. To overcome such weaknesses, an approach to multicriteria sorting using the main features of the method STEPCLASS, initially developed for multiattribute nominal classification, is proposed.
Keywords: verbal decision analysis, multicriteria ordinal classification problem, Decision Maker, method STEPCLASS.
English version:
Scientific and Technical Information Processing, 2015, Volume 42, Issue 6, Pages 481–489
DOI: https://doi.org/10.3103/S0147688215060064
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. M. Furems, “Stepclass-based approach to multicriteria sorting”, Artificial Intelligence and Decision Making, 2012, no. 4, 104–115; Scientific and Technical Information Processing, 42:6 (2015), 481–489
Citation in format AMSBIB
\Bibitem{Fur12}
\by E.~M.~Furems
\paper Stepclass-based approach to multicriteria sorting
\jour Artificial Intelligence and Decision Making
\yr 2012
\issue 4
\pages 104--115
\mathnet{http://mi.mathnet.ru/iipr450}
\elib{https://elibrary.ru/item.asp?id=18962076}
\transl
\jour Scientific and Technical Information Processing
\yr 2015
\vol 42
\issue 6
\pages 481--489
\crossref{https://doi.org/10.3103/S0147688215060064}
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  • https://www.mathnet.ru/eng/iipr/y2012/i4/p104
    • This publication is cited in the following 7 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Full-text PDF :36
    References:1
     
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