Fuzzy Interpolation of Fuzzy Rough Sets

被引：0
|
作者：
Gegeny, David [1 ]
Kovacs, Szilveszter [2 ]
机构：
[1] Univ Miskolc, Inst Math, Dept Anal, Miskolc, Hungary
[2] Univ Miskolc, Inst Informat Sci, Dept Informat Technol, Miskolc, Hungary
来源：
2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2022年
关键词：
Fuzzy Rule Interpolation; Fuzzy Rough Sets; RULE INTERPOLATION;
D O I：
10.1109/FUZZ-IEEE55066.2022.9882837
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Both rough set theory and fuzzy set theory are used to handle imperfect information. Since these models use different approaches, several combined models have been proposed in the past. One such combination is the notion of fuzzy rough sets where the reference set and the approximation space could both be fuzzy. The goal of this paper is to introduce the concept of fuzzy interpolation for fuzzy rough sets, and determine what fuzzy interpolation criteria need to be met to produce a valid result. The paper also provides a numerical example for such an interpolation.
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页数：5
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