Fuzzy extensions of the dominance-based rough set approach

被引：25
|
作者：
Palangetic, Marko [1 ]
Cornelis, Chris [1 ]
Greco, Salvatore [2 ,3 ]
Slowinski, Roman [4 ,5 ]
机构：
[1] Univ Ghent, Fac Sci, Dept Appl Math Comp Sci & Stat, Ghent, Belgium
[2] Univ Catania, Dept Econ & Business, Catania, Italy
[3] Univ Portsmouth, Portsmouth Business Sch, Ctr Operat Res & Logist CORL, Portsmouth, Hants, England
[4] Poznan Univ Tech, Inst Comp Sci, Poznan, Poland
[5] Polish Acad Sci, Syst Res Inst, Warsaw, Poland
来源：
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2021年 / 129卷
关键词：
Dominance-based rough set approach; Fuzzy set theory; Ordered weighted average;
D O I：
10.1016/j.ijar.2020.10.004
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we first review existing fuzzy extensions of the dominance-based rough set approach (DRSA), and advance the theory considering additional properties. Moreover, we examine the application of Ordered Weighted Average (OWA) operators to fuzzy DRSA. OWA operators have shown a lot of potential in handling outliers and noisy data in decision tables, when they are combined with the indiscernibility-based rough set approach (IRSA). We examine theoretical properties of the proposed hybridisation of OWA operators with fuzzy DRSA. At the end, we experimentally compare the robustness of the standard fuzzy DRSA approach with the OWA one. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码：1 / 19
页数：19
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