Attribute Reduction for Set-Valued Ordered Fuzzy Decision System

被引:2
作者
Bao, Zhongkui [1 ,2 ]
Yang, Shanlin [1 ]
机构
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China
[2] Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China
来源
2014 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2 | 2014年
关键词
set-valued ordered fuzzy decision system; delta - dominance relation; rough fuzzy set; attribute reduction;
D O I
10.1109/IHMSC.2014.126
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Attribute reduction for set-valued ordered fuzzy decision system that considers attributes with preference-ordered domains and fuzzy decision attributes is investigated. Firstly, a delta - dominance relation is proposed, and d dominance relation-based rough fuzzy set model is defined for set-valued ordered fuzzy decision system. Then, judgment theorem of attribute consistent set is derived, and attribute reduction approach based on the discernibility matrices is proposed to eliminate redundant attributes that are not essential from the view of fuzzy decisions. Finally, an example is given to illustrate the results.
引用
收藏
页码:96 / 99
页数:4
相关论文
共 50 条
[31]   New Attribute Reduction Algorithm on Fuzzy Decision Table [J].
Hao-Dong Zhu and Hong-Chan Li School of Computer and Communication Engineering .
Journal of Electronic Science and Technology, 2011, 9 (02) :103-107
[32]   A Novel Filter-Wrapper Algorithm on Intuitionistic Fuzzy Set for Attribute Reduction From Decision Tables [J].
Thang Truong Nguyen ;
Nguyen Long Giang ;
Dai Thanh Tran ;
Trung Tuan Nguyen ;
Huy Quang Nguyen ;
Anh Viet Pham ;
Thi Duc Vu .
INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 2021, 17 (04) :67-100
[33]   Attribute reduction in an incomplete categorical decision information system based on fuzzy rough sets [J].
Jiali He ;
Liangdong Qu ;
Zhihong Wang ;
Yiying Chen ;
Damei Luo ;
Ching-Feng Wen .
Artificial Intelligence Review, 2022, 55 :5313-5348
[34]   Attribute reduction in an incomplete categorical decision information system based on fuzzy rough sets [J].
He, Jiali ;
Qu, Liangdong ;
Wang, Zhihong ;
Chen, Yiying ;
Luo, Damei ;
Ching-Feng Wen .
ARTIFICIAL INTELLIGENCE REVIEW, 2022, 55 (07) :5313-5348
[35]   Roughness of soft sets and fuzzy sets in semigroups based on set-valued picture hesitant fuzzy relations [J].
Prasertpong, Rukchart .
AIMS MATHEMATICS, 2022, 7 (02) :2891-2928
[36]   Fuzzy rough set based attribute reduction for information systems with fuzzy decisions [J].
He, Qiang ;
Wu, Congxin ;
Chen, Degang ;
Zhao, Suyun .
KNOWLEDGE-BASED SYSTEMS, 2011, 24 (05) :689-696
[37]   Attribute reduction in decision-theoretic rough set models [J].
Yao, Yiyu ;
Zhao, Yan .
INFORMATION SCIENCES, 2008, 178 (17) :3356-3373
[38]   Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory [J].
Dai, Jianhua ;
Zheng, Guojie ;
Han, Huifeng ;
Hu, Qinghua ;
Zheng, Nenggan ;
Liu, Jun ;
Zhang, Qilai .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (01) :703-710
[39]   Attributes reduction and rules acquisition in an lattice-valued information system with fuzzy decision [J].
Zhang, Xiaoyan ;
Wei, Ling ;
Xu, Weihua .
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2017, 8 (01) :135-147
[40]   Attributes reduction and rules acquisition in an lattice-valued information system with fuzzy decision [J].
Xiaoyan Zhang ;
Ling Wei ;
Weihua Xu .
International Journal of Machine Learning and Cybernetics, 2017, 8 :135-147