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Advances in Fuzzy Object-Oriented Databases: Modeling and by Zongmin Ma

By Zongmin Ma

Gathering the most recent study effects from the prime researchers within the box of fuzzy object-oriented databases, Advances in Fuzzy Object-Oriented Databases: Modeling and functions offer a unmarried resource for present learn and functional functions in fuzzy object-oriented databases. This booklet comprises significant facets of fuzzy object-oriented database modeling - conceptual, logical and actual, in addition to information of implementations and functions. Readers will reap the benefits of an entire figuring out of the notions, innovations, and strategies regarding the study and advancements of fuzzy object-oriented databases. This booklet can act as a place to begin and a reference for his or her examine and advancements and stimulate the curiosity within the box of fuzzy object-oriented databases and extra advertise the study within the box.

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Extra info for Advances in Fuzzy Object-Oriented Databases: Modeling and Applications

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The three semantics of fuzzy sets. Fuzzy Sets and Systems, 90(2), 141–150. George, R. (1992). Uncertainty management issues in the object-oriented database model. D. thesis, Tulane University, New Orleans, LA. , Petry, F. , & Buckles, B. P. (1997). Modeling impreciseness and uncertainty in the object-oriented data model — A similarity-based approach. In R. ), Fuzzy and uncertain object-oriented databases: Concepts and models (pp. 63–95). Singapore: World Scientific. Gottwald, S. (1979). Set theory for fuzzy sets of higher level.

2003). FoodBi: Managing fuzzy object-oriented data on top of the Java platform. In Proceedings of the 10th IFSA World Congress (pp. 384–387). Istanbul, Turkey. , & Vila, M. A. (2001). Softening the objectoriented database model: Imprecision, uncertainty and fuzzy types. In Proceedings of the IFSA/NAFIPS World Congress (pp. 2323–2328). Vancouver, Canada. Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.

6)} was calculated as follows: Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Age is young] is calculated. This is done by means of the following formula, (as fully explained in de Tré & de Baets, 2003): µt*~(A is F)(T) = supx∈dom A min (πA(x), µF(x)) µt*~(A is F)(F) = sup x∈dom A\{⊥} min (πA(x), 1-µF(x)) µt*~(A is F)(⊥) = min (πA(⊥), 1-µF(⊥)) where πA is the possibility distribution representing the value of attribute A, and µF is the membership function representing the linguistic term F.

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