A New Interval Type-2 Fuzzy PRISM Algorithm

被引：0
|
作者：
Bartczuk, Lukasz [1 ]
机构：
[1] Czestochowa Tech Univ, Dept Intelligent Comp Syst, Czestochowa, Poland
来源：
IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE) | 2021年
关键词：
Rule induction; PRISM; Interval valued type-2 fuzzy sets; DECISION TREES; SYSTEMS; INDUCTION;
D O I：
10.1109/FUZZ45933.2021.9494511
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Interval type-2 rule-based fuzzy systems become popular in the last years. However, the complexity of operations on an interval membership values cause that there are only a few methods that allow inducing type-2 fuzzy rules from data. Moreover, the existing algorithms most often rely on the induction of decision trees and can lead to an overly large rule base. For those reasons, the form of fuzzy rules is most often determined by an expert. In this paper, we would like to introduce a new rule induction algorithm based on the PRISM strategy. As the exemplary application of the proposed method show, it allows obtaining the rule base that is more compact and more manageable.
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页数：6
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