Two Types of Intuitionistic Fuzzy Covering Rough Sets and an Application to Multiple Criteria Group Decision Making

被引:13
作者
Wang, Jingqian [1 ]
Zhang, Xiaohong [2 ]
机构
[1] Shaanxi Univ Sci & Technol, Coll Elect & Informat Engn, Xian 710021, Shaanxi, Peoples R China
[2] Shaanxi Univ Sci & Technol, Sch Arts & Sci, Xian 710021, Shaanxi, Peoples R China
来源
SYMMETRY-BASEL | 2018年 / 10卷 / 10期
基金
中国国家自然科学基金;
关键词
intuitionistic fuzzy; covering; neighborhood system; decision making; ATTRIBUTE REDUCTION; FEATURE-SELECTION; OPERATORS;
D O I
10.3390/sym10100462
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Intuitionistic fuzzy rough sets are constructed by combining intuitionistic fuzzy sets with rough sets. Recently, Huang et al. proposed the definition of an intuitionistic fuzzy (IF) beta-covering and an IF covering rough set model. In this paper, some properties of IF beta-covering approximation spaces and the IF covering rough set model are investigated further. Moreover, we present a novel methodology to the problem of multiple criteria group decision making. Firstly, some new notions and properties of IF beta-covering approximation spaces are proposed. Secondly, we study the characterizations of Huang et al.'s IF covering rough set model and present a new IF covering rough set model for crisp sets in an IF environment. The relationships between these two IF covering rough set models and some other rough set models are investigated. Finally, based on the IF covering rough set model, Huang et al. also defined an optimistic multi-granulation IF rough set model. We present a novel method to multiple criteria group decision making problems under the optimistic multi-granulation IF rough set model.
引用
收藏
页数:17
相关论文
共 42 条
[1]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[2]   On the coverings by tolerance classes [J].
Bartol, W ;
Miró, J ;
Pióro, K ;
Rosselló, F .
INFORMATION SCIENCES, 2004, 166 (1-4) :193-211
[3]   Extensions and intentions in the rough set theory [J].
Bonikowski, Z ;
Bryniarski, E ;
Wybraniec-Skardowska, U .
INFORMATION SCIENCES, 1998, 107 (1-4) :149-167
[4]   Multi-label feature selection via feature manifold learning and sparsity regularization [J].
Cai, Zhiling ;
Zhu, William .
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 9 (08) :1321-1334
[5]   A comprehensive study of fuzzy covering-based rough set models: Definitions, properties and interrelationships [J].
D'eer, Lynn ;
Cornelis, Chris .
FUZZY SETS AND SYSTEMS, 2018, 336 :1-26
[6]   Uncertainty measurement for interval-valued decision systems based on extended conditional entropy [J].
Dai, Jianhua ;
Wang, Wentao ;
Xu, Qing ;
Tian, Haowei .
KNOWLEDGE-BASED SYSTEMS, 2012, 27 :443-450
[7]   ROUGH FUZZY-SETS AND FUZZY ROUGH SETS [J].
DUBOIS, D ;
PRADE, H .
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 1990, 17 (2-3) :191-209
[8]   An intuitionistic fuzzy graded covering rough set [J].
Huang, Bing ;
Guo, Chun-xiang ;
Li, Hua-xiong ;
Feng, Guo-fu ;
Zhou, Xian-zhong .
KNOWLEDGE-BASED SYSTEMS, 2016, 107 :155-178
[9]   On the structure of generalized rough sets [J].
Kondo, M .
INFORMATION SCIENCES, 2006, 176 (05) :589-600
[10]  
Ma LW, 2016, FUZZY SET SYST, V294, P1, DOI [10.1016/j.fss.2015.05.002, 10.1016/j.fss.2015.05.0020165]