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)
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
Ministry points / chapter
20.0
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