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Dominance-Based Rough Set Approach: Basic Ideas and Main Trends

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Intelligent Decision Support Systems

Part of the book series: Multiple Criteria Decision Making ((MCDM))

Abstract

Dominance-based Rough Set Approach (DRSA) has been proposed as a machine learning and knowledge discovery methodology to handle Multiple Criteria Decision Aiding (MCDA). Due to its capacity of asking the decision maker (DM) for simple preference information and supplying easily understandable and explainable recommendations, DRSA gained much interest during the years and it is now one of the most appreciated MCDA approaches. In fact, it has been applied also beyond MCDA domain, as a general knowledge discovery and data mining methodology for the analysis of monotonic (and also non-monotonic) data. In this contribution, we recall the basic principles and the main concepts of DRSA, with a general overview of its developments and software. We present also a historical reconstruction of the genesis of this methodology, with a specific focus on the contribution of Roman Słowiński.

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Notes

  1. 1.

    https://github.com/ruleLearn/rulelearn.

  2. 2.

    https://github.com/dominieq/rule-studio.

  3. 3.

    http://www.cs.put.poznan.pl/mszelag/Software/RuleVisualization/RuleVisualization.html.

  4. 4.

    http://www.cs.put.poznan.pl/jblaszczynski/Site/jRS.html.

  5. 5.

    http://www.cs.put.poznan.pl/mszelag/Software/ruleRank/ruleRank.html.

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Acknowledgements

This research was partially supported by TAILOR, a project funded by EU Horizon 2020 research and innovation programme under GA No. 952215. Salvatore Greco wishes to acknowledge the support of the Ministero dell’Istruzione, dell’Universitá e della Ricerca (MIUR)—PRIN 2017, project “Multiple Criteria Decision Analysis and Multiple Criteria Decision Theory,” grant 2017CY2NCA and the research project “Data analytics for entrepreneurial ecosystems, sustainable development and well being indices” of the Department of Economics and Business of the University of Catania.

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Authors and Affiliations

  1. Poznan Supercomputing and Networking Center, Poznań, Poland

    Jerzy Błaszczyński

  2. Department of Economics and Business, University of Catania, Catania, Italy

    Salvatore Greco

  3. Centre for Operational Research & Logistics, Portsmouth Business School, Portsmouth, UK

    Salvatore Greco

  4. Department of Economics and Business, University of Catania, Catania, Italy

    Benedetto Matarazzo

  5. Institute of Computing Science, Poznań University of Technology, Poznań, Poland

    Marcin Szeląg

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  1. Jerzy Błaszczyński
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  2. Salvatore Greco
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Correspondence to Salvatore Greco .

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  1. Department of Economics and Business, University of Catania, Catania, Italy

    Salvatore Greco

  2. MICS Laboratory, CentraleSupélec, University of Paris-Saclay, Gif sur Yvette, France

    Vincent Mousseau

  3. Institute of Computing Sciences, Poznan University of Technology, Poznan, Poland

    Jerzy Stefanowski

  4. School of Production Engineering and Management, Technical University of Crete, Chania, Greece

    Constantin Zopounidis

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Błaszczyński, J., Greco, S., Matarazzo, B., Szeląg, M. (2022). Dominance-Based Rough Set Approach: Basic Ideas and Main Trends. In: Greco, S., Mousseau, V., Stefanowski, J., Zopounidis, C. (eds) Intelligent Decision Support Systems . Multiple Criteria Decision Making. Springer, Cham. https://doi.org/10.1007/978-3-030-96318-7_18

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