Complex object comparison in a fuzzy context

被引：41

作者：

Marín, N ^{[1
]}

Medina, JM ^{[1
]}

Pons, O ^{[1
]}

Sánchez, D ^{[1
]}

Vila, MA ^{[1
]}

机构：

[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, Intelligent Databases & Informat Syst Res Grp, E-18071 Granada, Andalucia, Spain

来源：

INFORMATION AND SOFTWARE TECHNOLOGY | 2003年 / 45卷 / 07期

关键词：

object-oriented model; fuzzy database; objects resemblance; inclusion degree;

D O I：

10.1016/S0950-5849(03)00014-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The comparison concept plays a determining role in many problems related to object management in an Object-Oriented Database Model. Object comparison is appropriately managed in a crisp object-oriented context by means of the concepts of identity and value equality. However. when dealing with imprecise or imperfect objects, questions like 'To which extent may two objects be the same one?' or 'How similar are two objects?' have not a clear answer, because the equality concept becomes fuzzy. In this paper we present a set of operators that are useful when comparing objects in a fuzzy environment. In particular, we introduce a generalized resemblance degree between two fuzzy sets of imprecise objects and a generalized resemblance degree to compare complex fuzzy objects within a given class. (C) 2003 Elsevier Science B.V. All rights reserved.

引用

页码：431 / 444

页数：14

共 20 条

[1]

[Anonymous], 1992, P INT C FUZZ SETS NE

[2]

Berler M., 2000, OBJECT DATA STANDARD

[3] Dealing with uncertainty and imprecision by means of fuzzy numbers [J].

Gonzalez, A ;

Pons, O ;

Vila, MA .

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1999, 21 (03) :233-256

[4]

KOYUNCU M, 2001, P IFSA NAFIPS WORLD

[5] A note on current approaches to extending fuzzy logic to object-oriented modeling [J].

Lee, J ;

Kuo, JY ;

Xue, NL .

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2001, 16 (07) :807-820

[6]

MARIN N, 2001, P IFSA NAFIPS WORLD

[7]

Rossazza JP, 1997, ADV FUZZY SYS: APPL, V13, P21

[8]

Ruspini E., 1986, FUZZY LOGIC KNOWLEDG, P18

[9]

SPELL B, 2000, PROFESSIONAL JAVA PR

[10]

STROUSTRUP B, 1988, IEEE SOFTWARE

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