Rough Set Analysis of Classification Data with Missing Values
[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ 2 ] Instytut Badań Systemowych PAN | [ P ] employee
2017
chapter in monograph / paper
english
- Rough set
- indiscernibility-based rough set approach
- dominance-based rough set approach
- missing values
EN In this paper, we consider a rough set analysis of non-ordinal and ordinal classification data with missing attribute values. We show how this problem can be addressed by several variants of Indiscernibility-based Rough Set Approach (IRSA) and Dominance-based Rough Set Approach (DRSA). We propose some desirable properties that a rough set approach being able to handle missing attribute values should possess. Then, we analyze which of these properties are satisfied by the considered variants of IRSA and DRSA.
22.06.2017
552 - 565
20
20
WoS (15)