UFO: uncertainty and fuzziness in an object-oriented model

Gyseghem, Nancy Van; Caluwe, Rita De; Vandenberghe, Ria

doi:10.1109/fuzzy.1993.327540

Cited by 35 publications

(8 citation statements)

References 11 publications

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“…are completely independent of each other: Whether or not an optional property is applicable, does not influence the t O ( P √ o.t ) ( 0 ) applicability of another optional property (Van Gyseghem & De Caluwe, 1995). The uncertainty about the Å max { o.t.PI ( ps ) É ∀ ps ⊆ CL.℘: P √ / ps } applicability of an optional property OP to a CL-object o, is expressed by means of an uncertain truth value, which Despite the fact that the different optional properties is associated with OP by o.…”

Section: Uncertain Optional Propertiesmentioning

confidence: 98%

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Imprecision and uncertainty in the UFO database model

Gyseghem

Caluwe

1998

J. Am. Soc. Inf. Sci.

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Database systems which have a semantically rich underlying database model, can offer better, more user‐friendly facilities to model applications more efficiently and more truthfully. The object‐oriented database model (OODBM) is equipped with some important semantic constructs such as objects, classes, and the inheritance relationship; its emergence is one of the new steps towards semantically richer database models. Along the same path, the UFO (Uncertainty and Fuzziness in an Object‐oriented) database model enhances the OODBM with the ability to process and record fuzzy and uncertain (imprecise) information. This article discusses how imprecision and uncertainty are dealt with in the UFO database model. Such information is expressed by means of possibility distributions, and modeled by means of the proposed concept of “role objects.” The role objects model uncertain, tentative information about objects, and thus the uncertain roles that objects might play. Uncertain and imprecise data (found at the level of the attribute values, of the “is‐an‐instance‐of” relationship, and of the applicability of attributes and methods) as well as uncertain information (found at the level of the database scheme) are modeled using this new concept. © 1998 John Wiley & Sons, Inc.

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Section: Uncertain Optional Propertiesmentioning

confidence: 98%

“…OODBM). This concept of fuzziness has already been extended within the UFO database model (Van Gyseghem & De Caluwe, 1995).…”

Section: Uncertain Optional Propertiesmentioning

confidence: 99%

Imprecision and uncertainty in the UFO database model

Gyseghem

Caluwe

1998

J. Am. Soc. Inf. Sci.

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“…Emphasis is on the semantics of quantification and development of a practical fuzzy version of SQL. From the perspective of the object-oriented model, Van Gysegham et al 7 have made the most progress.…”

Section: Imprecise Datamentioning

confidence: 99%

Fuzzy database systems-challenges and opportunities of a new era

George

Petry

Buckles

et al. 1998

Int. J. Intell. Syst.

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“…In Ref. 26, the focus is on the representation of uncertain information based on a generalized fuzzy set notation. Gyseghem et al represent fuzzy information as fuzzy sets and uncertainty by means of generalized fuzzy sets.…”

Section: Extending Fuzzy Logic To Oommentioning

confidence: 99%

A note on current approaches to extending fuzzy logic to object-oriented modeling

Kuo¹,

Xue²

2001

Int. J. Intell. Syst.

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In this study, we have attempted a survey of current approaches carried out in the confluence of the two technologies, fuzzy set theory and object-oriented technology, that could provide a powerful tool for enhancing database management systems, software Ž . modeling, and knowledge representation in artificial intelligence AI systems. Possible types of fuzziness are discussed and key features related to different kinds of fuzzy software systems are also pinpointed. In a nutshell, fuzzy theory, as a modeling mechanism, is especially useful in tackling real world applications whose complexity demands are growing intensively. ᮊ

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UFO: uncertainty and fuzziness in an object-oriented model

Cited by 35 publications

References 11 publications

Imprecision and uncertainty in the UFO database model

Imprecision and uncertainty in the UFO database model

Fuzzy database systems-challenges and opportunities of a new era

A note on current approaches to extending fuzzy logic to object-oriented modeling

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