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Dominance-Based Extension Of Stepclass For Multiattribute Nominal Classification

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  • EUGENIA M. FUREMS

    (Institute for System Analysis of the Russian Academy of Science, 9, Prospect of 60 let Octyabrya, 117312 Moscow, Russia)

Abstract

The problem of knowledge-based multiattribute classification with nonorderable classes is considered within the Verbal Decision Analysis (VDA) paradigm. Two VDA-based methods for such problem solving — NORClass and STEPCLASS — are outlined. The STEPCLASS method is initially designed for the problem with nonordered values of attributes. The main idea of NORClass is based on the assumption that a domain expert is able to order the values of any attribute according to their typicality for each class differently and independently of the values of other attributes. We propose to integrate into the STEPCLASS method the main ideas from NORClass. It is shown that such integration allows increasing the efficiency of the STEPCLASS method in cases, where the above assumption is true, and to overcome some drawbacks of NORClass.

Suggested Citation

  • Eugenia M. Furems, 2013. "Dominance-Based Extension Of Stepclass For Multiattribute Nominal Classification," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(05), pages 905-925.
    • Handle: RePEc:wsi:ijitdm:v:12:y:2013:i:05:n:s0219622013400026
    DOI: 10.1142/S0219622013400026
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    References listed on IDEAS

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    1. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, April.
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    Cited by:

    1. Ishizaka, Alessio & Lokman, Banu & Tasiou, Menelaos, 2021. "A Stochastic Multi-criteria divisive hierarchical clustering algorithm," Omega, Elsevier, vol. 103(C).
    2. Costa, Ana Sara & Figueira, José Rui & Borbinha, José, 2018. "A multiple criteria nominal classification method based on the concepts of similarity and dissimilarity," European Journal of Operational Research, Elsevier, vol. 271(1), pages 193-209.
    3. Costa, Ana Sara & Corrente, Salvatore & Greco, Salvatore & Figueira, José Rui & Borbinha, José, 2020. "A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 986-1001.

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