Fuzzy transform in the analysis of data

被引：105

作者：

Perfilieva, Irina ^{[1
]}

Novak, Vilem ^{[1
]}

Dvorak, Antonin ^{[1
]}

机构：

[1] Univ Ostrava, Inst Res & Appl Fuzzy Modeling, Ostrava 70103 1, Czech Republic

来源：

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2008年 / 48卷 / 01期

关键词：

fuzzy transform; evaluative linguistic expressions; linguistic associations; data-mining; association rules;

D O I：

10.1016/j.ijar.2007.06.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fuzzy transform is a novel, mathematically well founded soft computing method with many applications. In this paper, we present this technique with applications to data analysis. First, we show how it can be used for detection and characterization of dependencies among attributes. Second, we apply it to mining associations that have a functional character. Moreover, the mined associations are characterized linguistically which means that their antecedent consists of fuzzy numbers and the consequent is characterized using pure evaluative linguistic expressions (i.e. expressions such as small, very big, more or less medium, etc). (C) 2007 Elsevier Inc. All rights reserved.

引用

页码：36 / 46

页数：11

共 14 条

[1]

Chen GQ, 2006, DATA MINING AND KNOWLEDGE DISCOVERY APPROACHES BASED ON RULE INDUCTION TECHNIQUES, P459

[2]

Frawley, 1991, KNOWLEDGE DISCOVERY

[3]

Hajek P., 1978, MATH FDN GEN THEORY

[4]

Hajek P., 1968, KYBERNETIKA, V4, P505

[5]

MILLER RJ, 1997, ACM SIGMOD, V26, P452

[6] Data mining in soft computing framework: A survey [J].

Mitra, S ;

Pal, SK ;

Mitra, P .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (01) :3-14

[7]

NOVAK V, 2006, P INT C NAFIPS 2006, P237

[8]

NOVAK V, 2005, FUZZY LOGIC SOFT COM, P546

[9]

NOVAK V, P 26 LINZ SEM FUZZ S

[10] Fuzzy transforms: Theory and applications [J].

Perfilieva, I .

FUZZY SETS AND SYSTEMS, 2006, 157 (08) :993-1023

← 1 2 →