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

By Zongmin Ma

Gathering the most recent examine effects from the prime researchers within the box of fuzzy object-oriented databases, Advances in Fuzzy Object-Oriented Databases: Modeling and purposes offer a unmarried resource for present study and functional purposes in fuzzy object-oriented databases. This booklet comprises significant facets of fuzzy object-oriented database modeling - conceptual, logical and actual, in addition to info of implementations and purposes. Readers will reap the benefits of an entire knowing of the notions, strategies, and techniques with regards to the examine and advancements of fuzzy object-oriented databases. This booklet can act as a place to begin 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 study within the box.

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Example 5: With the object schemes OSPerson and OSEmployee of Example 4 and the constraints c1,c2,…,c9 presented in Example 3, the following database scheme can be constructed: DSEmpl = [DSEmployee,{OSPerson,OSEmployee}, “scheme for an employee database,” {(c4,1),(c5,1),(c6,1),(c7,1),(c8,1),(c9,1)}] By considering the object identifiers of the persistent objects of Example 2, the corresponding database can be represented by the following: {{oid 1,oid 2,oid3}, {oid 3}} Database Model The database model is finally obtained by extending the formalism with data definition (DDL) and data manipulation operators (DML).

This scheme “in fine” completely defines the object, now including the definitions of the specific constraints that apply to it. Definition 13 (Object scheme): Every object scheme is a quadruple os = [id,t,M,C t] in which: • • • id ∈ ID represents the name of the object scheme • Ct ∈ ℘~(Cis) is a normalized fuzzy set of constraints, which all have to be applied onto the objects of type t. The membership grades in Ct are interpreted as weights and denote the relative importance of the constraints with respect to the definition of the object scheme.

G. , & Barry, D. ). (2000). 0. San Francisco, CA: Morgan Kaufmann Publishers. de Cooman, G. (1995). Towards a possibilistic logic. In D. ), Fuzzy set theory and advanced mathematical applications (pp. 89–133). Boston, MA: Kluwer Academic Publishers. de Cooman, G. (1999). From possibilistic information to Kleene’s strong multivalued logics. In D. Dubois, E. P. Klement, & H. ), Fuzzy sets, logics and reasoning about knowledge (pp. 315–323). Boston, MA: Kluwer Academic Publishers. de Tré, G. (2002).

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