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A conceptual approach for dealing with imprecision and uncertainty in object‐based data models
Author(s) -
Vila M. A.,
Cubero J. C.,
Medina J. M.,
Pons O.
Publication year - 1996
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/(sici)1098-111x(199610)11:10<791::aid-int6>3.0.co;2-u
Subject(s) - vagueness , computer science , object (grammar) , representation (politics) , set (abstract data type) , point (geometry) , fuzzy set , data mining , data model (gis) , fuzzy logic , artificial intelligence , information retrieval , mathematics , geometry , politics , political science , law , programming language
This article treats the problem of vagueness in databases from a general point of view. Several kinds of attribute imprecise values are considered, including the case where such values are fuzzy set of objects. The possibility of managing uncertain data is also taken into account and both sources of the lack of information are studied jointly. All these vague elements are represented in a unified manner by using a semantic data model. The article shows how this representation is possible and opens the way for implementing this kind of information by using a classic object‐oriented database system. © 1996 John Wiley & Sons, Inc.