Research on rule extraction method based on concept lattice of intuitionistic fuzzy language

被引:0
作者
Yan, Hongpeng [1 ]
机构
[1] Jilin Animat Inst, Changchun 130012, Jilin, Peoples R China
关键词
Intuitionistic fuzzy language; concept lattice; rule extraction; GROUP DECISION-MAKING; ANALYTIC HIERARCHY PROCESS; NUMBERS;
D O I
10.2478/amns.2021.2.00187
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Studying the concept lattice of intuitionistic fuzzy language can not only enable an intuitive expression of the relationship between objects and attributes but also ensure the effectiveness of information, and it thus provides a new idea for the development of artificial intelligence. Therefore, in this paper, the rule extraction method is studied based on the concept lattice of intuitionistic fuzzy language. By combining the formal context of intuitionistic fuzzy language with the context of decision formal, the formal context of intuitionistic fuzzy language decision is put forward and the rule extraction method under this context is constructed. The problem of decision making in real life can be solved through the weighted similarity in the formal context of intuitionistic fuzzy language.
引用
收藏
页码:867 / 884
页数:17
相关论文
共 30 条
[1]  
Bao J, 2020, 20 COTA INT C TRANSP
[2]   Hesitant interval-valued intuitionistic fuzzy-linguistic term set approach in Prisoners' dilemma game theory using TOPSIS: a case study on Human-trafficking [J].
Bhaumik, Ankan ;
Roy, Sankar Kumar ;
Weber, Gerhard Wilhelm .
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 2020, 28 (02) :797-816
[3]   Multi-attribute group decision making method based on some trapezoid intuitionistic fuzzy linguistic Bonferroni mean aggregation operators [J].
Chu, Yanchang ;
Liu, Peide ;
Li, Honggang .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (04) :3869-3889
[4]  
Codara P, 2018, INT C INFORM PROCESS
[5]  
Cui H, 2020, INT J APPROX REASON, P131
[6]   Hesitant Fuzzy Linguistic Possibility Degree-Based Linear Assignment Method for Multiple Criteria Decision-Making [J].
Gou, Xunjie ;
Xu, Zeshui ;
Liao, Huchang .
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2019, 18 (01) :35-63
[7]   Note on m-polar fuzzy graph representation of concept lattice: How to really compute m-polar fuzzy concepts [J].
Konecny, Jan .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2019, 78 :1-11
[8]  
Li Y, 2018, J NANJING U NATURAL
[9]  
Li Z A, 2021, INT J APPROX REASON
[10]   A Multi-Attribute Group Decision-Making Method Based on Linguistic Intuitionistic Fuzzy Numbers and Dempster-Shafer Evidence Theory [J].
Liu, Peide ;
Liu, Xiaoxiao ;
Ma, Guiying ;
Liang, Zhaolong ;
Wang, Changhai ;
Alsaadi, Fawaz E. .
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2020, 19 (02) :499-524