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Chapter

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Title

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

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Chapter type

chapter in monograph

Publication language

english

Keywords
EN
  • Dominance-based Rough Set Approach
  • decision rules
  • rough sets
Abstract

EN 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.

Date of online publication

09.02.2022

Pages (from - to)

353 - 382

DOI

10.1007/978-3-030-96318-7_18

URL

https://link.springer.com/chapter/10.1007/978-3-030-96318-7_18

Book

Intelligent Decision Support Systems : Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński

Ministry points / chapter

20

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