On generalized rough fuzzy approximation operators

被引:0
|
作者
Wu, Wei-Zhi [1 ]
Leung, Yee
Zhang, Wen-Xiu
机构
[1] Zhejiang Ocean Univ, Informat Coll, Zhejiang 316004, Peoples R China
[2] Chinese Univ Hong Kong, Dept Geog & Resource Management, Ctr Environm Policy & Resource Management, Hong Kong, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Hong Kong, Peoples R China
[4] Xi An Jiao Tong Univ, Fac Sci, Inst Informat & Syst Sci, Xian 710049, Shaanxi, Peoples R China
来源
TRANSACTIONS ON ROUGH SETS V | 2006年 / 4100卷
关键词
approximation operators; belief functions; binary relations; fuzzy sets; fuzzy topological spaces; neighborhood systems; rough fuzzy sets; rough sets;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper presents a general framework for the study of rough fuzzy sets in which fuzzy sets are approximated in a crisp approximation space. By the constructive approach, a pair of lower and upper generalized rough fuzzy approximation operators is first defined. The rough fuzzy approximation operators are represented by a class of generalized crisp approximation operators. Properties of rough fuzzy approximation operators are then discussed. The relationships between crisp relations and rough fuzzy approximation operators are further established. By the axiomatic approach, various classes of rough fuzzy approximation operators are characterized by different sets of axioms. The axiom sets of rough fuzzy approximation operators guarantee the existence of certain types of crisp relations producing the same operators. The relationship between a fuzzy topological space and rough fuzzy approximation operators is further established. The connections between rough fuzzy sets and Dempster-Shafer theory of evidence are also examined. Finally multi-step rough fuzzy approximations within the framework of neighborhood systems are analyzed.
引用
收藏
页码:263 / 284
页数:22
相关论文
共 50 条
  • [41] Single axiomatic characterization of a hesitant fuzzy generalization of rough approximation operators
    Liu, Wen
    Mi, Ju-Sheng
    Sun, Yan
    SOFT COMPUTING, 2021, 25 (20) : 12649 - 12666
  • [42] L-Fuzzy Rough Approximation Operators Based on Residuated Lattices
    Li, Fei
    Zhang, Zhen-Liang
    SOUTHEAST ASIAN BULLETIN OF MATHEMATICS, 2010, 34 (05) : 877 - 892
  • [43] The θ-lower and T-upper fuzzy rough approximation operators on a semigroup
    Li, Fei
    Yin, Yunqiang
    INFORMATION SCIENCES, 2012, 195 : 241 - 255
  • [44] Rough Approximation Operators with Hedges
    Chen, Xueyou
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, 2009, 61 : 279 - 288
  • [45] Using One Axiom to Characterize Fuzzy Rough Approximation Operators Determined by a Fuzzy Implication Operator
    Wu, Wei-Zhi
    Li, Tong-Jun
    Gu, Shen-Ming
    FUNDAMENTA INFORMATICAE, 2015, 142 (1-4) : 87 - 104
  • [46] Rough approximation operators in covering approximation spaces
    Li, Tong-Jun
    Rough Sets and Current Trends in Computing, Proceedings, 2006, 4259 : 174 - 182
  • [47] New results on single axioms for L-fuzzy rough approximation operators
    Wang, Chun Yong
    Zhang, Xinguang
    Wu, Yonghong
    FUZZY SETS AND SYSTEMS, 2020, 380 : 131 - 149
  • [48] Interval-valued pythagorean fuzzy rough approximation operators and its application
    Yang, Hai-Long
    Zhou, Jia-Jia
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (03) : 3067 - 3084
  • [49] The fuzzy rough approximation decomposability
    Xiong, FG
    Ding, XQ
    Liu, YH
    NAFIPS'2003: 22ND INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS PROCEEDINGS, 2003, : 278 - 282
  • [50] On axiomatic characterization of fuzzy approximation operators. II. The rough fuzzy set based case
    Thiele, H
    31ST INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC, PROCEEDINGS, 2001, : 330 - 335