By Zongmin Ma
Accumulating the newest study effects from the prime researchers within the box of fuzzy object-oriented databases, Advances in Fuzzy Object-Oriented Databases: Modeling and functions supply a unmarried resource for present study and functional purposes in fuzzy object-oriented databases. This booklet comprises significant elements of fuzzy object-oriented database modeling - conceptual, logical and actual, in addition to info of implementations and purposes. Readers will take advantage of a whole figuring out of the notions, options, and techniques relating to the learn and advancements of fuzzy object-oriented databases. This publication can act as a kick off point and a reference for his or her study and advancements and stimulate the curiosity within the box of fuzzy object-oriented databases and additional advertise the learn within the box.
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Additional resources for Advances in Fuzzy Object-Oriented Databases: Modeling and Applications
Fuzzy Sets and Systems, 1(1), 3–28. Zadeh, L. A. (1986). Outline of a computational approach to meaning and knowledge representation based on a concept of a generalized assignment statement. In M. Thoma, & A. ), Proceedings of the International Seminar on Artificial Intelligence and Man–Machine Systems (pp. 198–211). Heidelberg, Germany: Springer. Zadeh, L. A. (1996). Fuzzy logic = Computing with words. IEEE Transactions on Fuzzy Systems, 4(2), 103–111. Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc.
T' inherits from the supertype or from the “common” ancestor type, and has no specific characteristics of its own. • The fuzzy set of specific constraints Ct' is empty, but, as a result of inheritance, all constraints that were defined for the inherited characteristics remain valid and must hold. The set of all instances Vos' instance of os' is constructed by preserving the objects for which the state v is in the union (resp. intersection and difference) of the sets of states of the instances of os1 and os2 and by calculating the associated EPTVs by applying the logical operators ∧~, ∨~, and ¬~ for EPTVs (as presented in de Tré, 2002).
III, pp. 1697– 1703). Annecy, France. , & Vila, M. A. (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.