Fuzzy rule based decision trees

作者：

Highlights：

• This paper presents a new architecture of a fuzzy decision tree based on fuzzy rules.

• The growth of the proposed tree is realized by expanding an additional node.

• The proposed tree can capture the oblique geometric structure of class regions.

• The main idea is creating a node for each class to be predicted at every level of the tree.

摘要

Highlights•This paper presents a new architecture of a fuzzy decision tree based on fuzzy rules.•The growth of the proposed tree is realized by expanding an additional node.•The proposed tree can capture the oblique geometric structure of class regions.•The main idea is creating a node for each class to be predicted at every level of the tree.

论文关键词：Decision tree,Fuzzy classifier,Fuzzy rules,Fuzzy confidence

论文评审过程：Received 11 December 2013, Revised 16 July 2014, Accepted 4 August 2014, Available online 14 August 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.08.001