Multi-Dimensional Fuzzy Transforms for Attribute Dependencies

被引：0

作者：

Di Martino, Ferdinando ^{[1
,2
]}

Loia, Vincenzo ^{[2
]}

Sessa, Salvatore ^{[1
]}

机构：

[1] Univ Naples Federico II, Dipartimento Costruz & Metodi Matemat Architettur, I-80134 Naples, Italy

[2] Univ Salerno, Dipartimento Matemat & Informat, I-84084 Salerno, Italy

来源：

PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年

关键词：

attribute dependence; fuzzy transform; index of determinacy; regression;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We explore attribute dependencies in the datasets by using direct and inverse fuzzy transforms. Our algorithm optimizes the fuzzy partitions of the universe of the attributes and moreover establishes if the set of the data points is sufficiently dense with respect to the chosen partitions: two specific regression indexes measure the reliability of our model. The known "El Nino" dataset is the basis of our experiments, whose results are consistent with the regression analysis made with the same data.

引用

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页码：53 / 57

页数：5

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