Building Java']Java Intelligent Applications Data Mining for Java']Java Type-2 Fuzzy Inference Systems

被引：0

作者：

Castanon-Puga, Manuel ^{[1
]}

Miguel Flores-Parra, Josue ^{[1
]}

Ramon Castro, Juan ^{[1
]}

Gaxiola-Pacheco, Carelia ^{[1
]}

Enrique Palafox-Maestre, Luis ^{[1
]}

机构：

[1] Autonomous Univ Baja California, Tijuana, Baja California, Mexico

来源：

INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE | 2015年 / 51卷

关键词：

Data mining; Interval Type-2 Fuzzy Inference System; !text type='Java']Java[!/text] Intelligent Applications;

D O I：

10.1016/j.procs.2015.05.401

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper introduces JT2FISClustering, a data mining extension for JT2FIS. JT2FIS is a Java class library for building intelligent applications. This extension is used to extract information from a data set and transform it into an Interval Type-2 Fuzzy Inference System in Java applications. Mamdani and Takagi-Sugeno Fuzzy Inference Systems can be generated using fuzzy c-means or subtractive data mining methods. We compare the outputs and performance of Matlab R versus Java in order to validate the proposed extension.

引用

页码：2719 / 2728

页数：10

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