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Fuzzy object-oriented database modeling coupled with fuzzy logic
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DOI：10.1016/S0165-0114(96)00080-2.png)
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This paper presents a modeling approach which couples fuzzy object-oriented database modeling with fuzzy logic. The modeling approach introduced here handles fuzziness at attribute, object/class and class/superclass levels in addition to fuzziness in class/class relationships and various associations among classes. We utilize logical rules to define some of the crisp/fuzzy relationships and associations which cannot be presented easily with object-oriented modeling features alone in the class hierarchies. We think that incorporation of object-oriented database modeling with logic along with usage of fuzzy set theory simplifies the design of complex and knowledge-intensive applications and handles uncertainty effectively, therefore resulting in a powerful modeling framework. (C) 1997 Elsevier Science B.V.
Keyword:
object-oriented database modeling
uncertainty
fuzzy set theory
logic programming
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