An Approach to Intuitionistic Fuzzy Decision Trees

被引:0
作者
Bujnowski, Pawel [1 ]
Szmidt, Eulalia [1 ,2 ]
Kacprzyk, Janusz [1 ,2 ]
机构
[1] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland
[2] Warsaw Sch Informat Technol, PL-01447 Warsaw, Poland
来源
PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY | 2015年 / 89卷
关键词
Classification; decision tree; fuzzy decision tree; intuitionistic fuzzy decision tree; ENTROPY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An approach to construct a new classifier called an intuitionistic fuzzy decision tree is presented. Well known benchmark data is used to analyze the performance of the classifier. The results are compared to some other popular classification algorithms. Finally, the classifier behavior is verified while solving a real-world classification problem.
引用
收藏
页码:1253 / 1260
页数:8
相关论文
共 50 条
[31]   AN FRAMEWORK FOR GENERATING FUZZY DECISION TREES BASED ON FUZZY ROUGH TECHNIQUES [J].
Zhang, Qun-Feng ;
Zhang, Tian-Yi ;
Zhang, Yu-Fen .
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, :164-168
[32]   Importance analysis of decision making factors based on fuzzy decision trees [J].
Zaitseva, Elena ;
Rabcan, Jan ;
Levashenko, Vitaly ;
Kvassay, Miroslav .
APPLIED SOFT COMPUTING, 2023, 134
[33]   Adaptive machine learning approaches utilizing soft decision-making via intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices [J].
Memis, Samet ;
Erduran, Ferhan Sola ;
Aydogan, Hivda .
PEERJ COMPUTER SCIENCE, 2025, 11
[34]   On the Cooperation of Interval-Valued Fuzzy Sets and Genetic Tuning to Improve the Performance of Fuzzy Decision Trees [J].
Antonio Sanz, Jose ;
Bustince, Humberto ;
Fernandez, Alberto ;
Herrera, Francisco .
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, :1247-1254
[35]   An Improved Multimodal Medical Image Fusion Approach Using Intuitionistic Fuzzy Set and Intuitionistic Fuzzy Cross-Correlation [J].
Haribabu, Maruturi ;
Guruviah, Velmathi .
DIAGNOSTICS, 2023, 13 (14)
[36]   THE SPHERICAL DISTANCE FOR INTUITIONISTIC FUZZY SETS AND ITS APPLICATION IN DECISION ANALYSIS [J].
Gong, Zaiwu ;
Xu, Xiaoxia ;
Yang, Yingjie ;
Zhou, Yi ;
Zhang, Huanhuan .
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2016, 22 (03) :393-415
[37]   Decision Making with Geometric Aggregation Operators based on Intuitionistic Fuzzy Sets [J].
Das, Sujit ;
Karmakar, Sandipta ;
Pal, Tandra ;
Kar, Samarjit .
2014 2ND INTERNATIONAL CONFERENCE ON BUSINESS AND INFORMATION MANAGEMENT (ICBIM), 2014,
[38]   A novel approach to cutting decision trees [J].
Uney-Yuksektepe, Fadime .
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 2014, 22 (03) :553-565
[39]   Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack [J].
Chan, Patrick P. K. ;
Zheng, Juan ;
Liu, Han ;
Tsang, E. C. C. ;
Yeung, Daniel S. .
APPLIED SOFT COMPUTING, 2021, 107
[40]   An improved second order training algorithm for improving the accuracy of fuzzy decision trees [J].
Narayanan S.J. ;
Bhatt R.B. ;
Paramasivam I. .
International Journal of Fuzzy System Applications, 2016, 5 (04) :96-120