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Fuzzy extensions for relationships in a generalized object model
Author(s) -
Cross Valerie V.
Publication year - 2001
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/int.1038
Subject(s) - computer science , object (grammar) , perspective (graphical) , semantics (computer science) , artificial intelligence , fuzzy logic , basis (linear algebra) , object model , data mining , theoretical computer science , mathematics , programming language , geometry
Numerous approaches for introducing and managing uncertainty in object‐oriented models have been proposed. This paper examines various semantics of uncertainty and the interaction with three kinds of relationships inherent to object models: for instance‐of, a‐kind‐of, and a category. A generalized object model incorporating the perspective of semantic data modeling, artificial intelligence, and database systems is the basis for the recommendations for fuzzy extensions to these three kinds of relationships. © 2001 John Wiley & Sons, Inc.