Constructive and axiomatic approaches to hesitant fuzzy rough set

被引:2
作者
Xibei Yang
Xiaoning Song
Yunsong Qi
Jingyu Yang
机构
[1] Jiangsu University of Science and Technology,School of Computer Science and Engineering
[2] Nanjing University of Science and Technology,School of Computer Science and Technology
来源
Soft Computing | 2014年 / 18卷
关键词
Approximation operator; Hesitant fuzzy relation; Hesitant fuzzy rough set; Hesitant fuzzy set;
D O I
暂无
中图分类号
学科分类号
摘要
Hesitant fuzzy set is a generalization of the classical fuzzy set by returning a family of the membership degrees for each object in the universe. Since how to use the rough set model to solve fuzzy problems plays a crucial role in the development of the rough set theory, the fusion of hesitant fuzzy set and rough set is then firstly explored in this paper. Both constructive and axiomatic approaches are considered for this study. In constructive approach, the model of the hesitant fuzzy rough set is presented to approximate a hesitant fuzzy target through a hesitant fuzzy relation. In axiomatic approach, an operators-oriented characterization of the hesitant fuzzy rough set is presented, that is, hesitant fuzzy rough approximation operators are defined by axioms and then, different axiom sets of lower and upper hesitant fuzzy set-theoretic operators guarantee the existence of different types of hesitant fuzzy relations producing the same operators.
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页码:1067 / 1077
页数:10
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共 111 条
[21]  
Prade H(2005)A generalized model of fuzzy rough sets Int J General Syst 34 603-613
[22]  
Grzymala-Busse JW(2010)Incomplete multigranulation rough set IEEE Trans Syst Man Cybern Part A 20 420-431
[23]  
Hu QH(2011)An efficient accelerator for attribute reduction from incomplete data in rough set framework Pattern Recogn 44 1658-1670
[24]  
An S(2009)An axiomatic approach of fuzzy rough sets based on residuated lattices Comput Math Appl 58 189-201
[25]  
Yu DR(2000)A generalized definition of rough approximations based on similarity IEEE Trans Knowl Data Eng 12 331-336
[26]  
Hu QH(2008)Fuzzy rough set theory for the interval-valued fuzzy information systems Inf Sci 178 2794-2815
[27]  
Yu DR(2010)Hesitant fuzzy sets Int J Intell Syst 25 529-539
[28]  
Guo MZ(2008)Attributes reduction using fuzzy rough sets IEEE Trans Fuzzy Syst 16 1130-1141
[29]  
Hu QH(2012)Hesitant fuzzy prioritized operators and their application to multiple attribute decision making Knowl Based Syst 31 176-182
[30]  
Yu DR(2009)An interval type-2 fuzzy rough set model for attribute reduction IEEE Trans Fuzzy Syst 17 301-315