A three-way classification with fuzzy decision trees

决策树 计算机科学 数据挖掘 增量决策树 模糊逻辑 人工智能 分类器(UML) 决策树学习 机器学习 模糊分类 模糊集 数学
作者
Xiaoyu Han,Xiubin Zhu,Witold Pedrycz,Zhiwu Li
出处
期刊:Applied Soft Computing [Elsevier BV]
卷期号:132: 109788-109788 被引量:19
标识
DOI:10.1016/j.asoc.2022.109788
摘要

This study is concerned with the design of a three-way classification mechanism realized through combing fuzzy decision trees and expressing uncertainty associated with classification results. The fuzzy decision tree used in this study is constructed through the generalization of the commonly used decision trees. The notion of three-way decision model first proposed for the interpretation of rules generated in rough set approximation has been widely used in many fields. This study proposes an efficient way to flag data with high level of uncertainty with the classification realized by fuzzy decision trees, which is the capability that commonly used fuzzy decision trees do not have. The data identified in this way are left to users’ judgments or more advanced classification techniques. The developed mechanism is formed as a two-stage construct where a fuzzy decision tree is built by generalizing the Boolean classification boundaries of a pre-constructed decision tree using fuzzy sets and then determining the level of uncertainty to identify instances to be rejected due to a lack of sufficient confidence in their belongingness. The rejected instances that are difficult to process are classified as non-commitment cases and left to some further analyses. The rejection quality of the developed three-way classifier is quantified in terms of the classification accuracy and rejection coefficient. We also elaborate on striking a sound tradeoff between these two performance indicators. Experimental studies demonstrate that the developed mechanism could effectively improve the classification accuracy at the cost of a small proportion of the rejected instances and achieve better performance in comparison with other three-way decision models when generating a three-way decision output.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无尘完成签到 ,获得积分10
2秒前
体贴的叛逆者完成签到,获得积分10
2秒前
17852573662完成签到,获得积分10
2秒前
3秒前
三号技师完成签到,获得积分10
4秒前
5秒前
与枫发布了新的文献求助10
8秒前
脸小呆呆完成签到 ,获得积分10
10秒前
michaelxia发布了新的文献求助10
10秒前
zhilianghui0807完成签到 ,获得积分10
14秒前
满天星辰独览完成签到 ,获得积分10
19秒前
白月光完成签到,获得积分10
20秒前
张大侠完成签到,获得积分20
21秒前
echo发布了新的文献求助20
21秒前
eee完成签到,获得积分10
28秒前
ybheart完成签到,获得积分0
29秒前
单纯乘风完成签到 ,获得积分10
30秒前
蔡从安完成签到,获得积分20
31秒前
且歌行完成签到,获得积分10
32秒前
cp3xzh完成签到,获得积分10
33秒前
哈哈哈完成签到 ,获得积分10
40秒前
咯咯咯完成签到 ,获得积分10
42秒前
活泼初之完成签到 ,获得积分10
44秒前
一个小菜鸡完成签到,获得积分10
45秒前
阿泽完成签到 ,获得积分10
51秒前
tt完成签到 ,获得积分10
52秒前
青黛完成签到 ,获得积分10
53秒前
后陡门的夏天完成签到 ,获得积分10
54秒前
月夕完成签到 ,获得积分10
56秒前
优秀的芯完成签到,获得积分10
59秒前
于洋完成签到 ,获得积分10
59秒前
小刘哥加油完成签到 ,获得积分10
1分钟前
熊雅完成签到,获得积分10
1分钟前
斯文败类应助一个小胖子采纳,获得10
1分钟前
laohu完成签到,获得积分10
1分钟前
1分钟前
夏日香气完成签到 ,获得积分10
1分钟前
方方完成签到 ,获得积分10
1分钟前
鲜于雁芙完成签到 ,获得积分10
1分钟前
彭于晏应助科研通管家采纳,获得10
1分钟前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968559
求助须知:如何正确求助?哪些是违规求助? 3513391
关于积分的说明 11167370
捐赠科研通 3248808
什么是DOI,文献DOI怎么找? 1794465
邀请新用户注册赠送积分活动 875116
科研通“疑难数据库(出版商)”最低求助积分说明 804664