Hierarchical modelling in searching for complex patterns: constrained sums of information systems

被引：12

作者：

Skowron, A

Stepaniuk, J

机构：

[1] Warsaw Univ, Inst Math, PL-02097 Warsaw, Poland

[2] Bialystok Tech Univ, Dept Comp Sci, PL-15351 Bialystok, Poland

来源：

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 2005年 / 17卷 / 1-2期

关键词：

rough sets; information granules; concept approximation; hierarchichal modelling; informorphisms; information nets;

D O I：

10.1080/09528130512331315873

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper outlines an approach to hierarchical modelling of complex patterns that is based on operations of sums with constraints on information systems. It is shown that such operations can be treated as a universal tool in hierarchical modelling of complex patterns.

引用

页码：83 / 102

页数：20

共 32 条

[1]

[Anonymous], ROUGH NEURAL COMPUTI

[2]

[Anonymous], 2002, Database Systems: The Complete Book

[3]

[Anonymous], FUNDAMENTA INFORMATI

[4]

[Anonymous], COMPUTING WORDS INFO

[5]

BARWISE J, 1997, INFORMATION FLOW LOG, P44

[6]

BAZAN J, 2004, 4 INT C ROUGH SETS C, P346

[7]

Bazan JG, 2000, STUD FUZZ SOFT COMP, V56, P49

[8]

Bazan Y., 1998, ROUGH SETS KNOWLEDGE, P321

[9] Statistical modeling: The two cultures [J].

Breiman, L .

STATISTICAL SCIENCE, 2001, 16 (03) :199-215

[10]

Friedman J., 2001, ELEMENTS STAT LEARNI, V1

← 1 2 3 4 →