Fuzzy covering-based rough set on two different universes and its application

被引:20
|
作者
Yang, Bin [1 ]
机构
[1] Northwest A&F Univ, Coll Sci, Yangling 712100, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Fuzzy sets; Fuzzy beta-Covering; Fuzzy covering-based rough sets; Fuzzy beta-Neighborhood; Multiple criteria decision making; MULTIATTRIBUTE DECISION-MAKING; NEIGHBORHOOD OPERATORS; ATTRIBUTE REDUCTION; INFORMATION-SYSTEMS; 3-WAY DECISIONS; APPROXIMATION; MODEL; LATTICE;
D O I
10.1007/s10462-021-10115-y
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 propose a new type of fuzzy covering-based rough set model over two different universes by using Zadeh's extension principle. We mainly address the following issues in this paper. First, we present the definition of fuzzy beta-neighborhood, which can be seen as a fuzzy mapping from a universe to the set of fuzzy sets on another universe and study its properties. Then we define a new type of fuzzy covering-based rough set model on two different universes and investigate the properties of this model. Meanwhile, we give a necessary and sufficient condition under which two fuzzy beta-coverings to generate the same fuzzy covering lower approximation or the same fuzzy covering upper approximation. Moreover, matrix representations of the fuzzy covering lower and fuzzy covering upper approximation operators are investigated. Finally, we propose a new approach to a kind of multiple criteria decision making problem based on fuzzy covering-based rough set model over two universes. The proposed models not only enrich the theory of fuzzy covering-based rough set but also provide a new perspective for multiple criteria decision making with uncertainty.
引用
收藏
页码:4717 / 4753
页数:37
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