RTO-RTDB: A Real-Time Object-Oriented Database Model

The objective of this chapter is to define a fuzzy object-oriented formal database model that allows us to model and manipulate information in a (true to nature) natural way. Not all the elements (data) that occur in the real world are fully known or defined in a perfect way. Classical database models only allow the manipulation of accurately defined data in an adequate way. The presented model was built upon an object-oriented type system and an elaborated constraint system, which, respectively, support the definitions of types and constraints. Types and constraints are the basic building blocks of object schemes, which, in turn, are used for defining database schemes. Finally, the definition of the database model was obtained by providing adequate data definition operators and data manipulation operators. Novelties in the approach are the incorporation of generalized constraints and of extended possibilistic truth values, which allow for a better representation of data(base) semantics.

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Real-Time Object-Oriented Database Support For Program Stock Trading

Journal of Database Management ◽

10.4018/jdm.1994040101 ◽

1994 ◽

Vol 5 (2) ◽

pp. 3-18 ◽

Cited By ~ 1

Author(s):

Victor Fay Wolfe ◽

Kam Fui Lau ◽

Stu Westin

Keyword(s):

Real Time ◽

Object Oriented ◽

Stock Trading ◽

Database Support ◽

Object Oriented Database

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Rough Sets

Rough Computing ◽

10.4018/978-1-59904-552-8.ch005 ◽

2011 ◽

pp. 129-151

Author(s):

Theresa Beaubouef ◽

Frederick E Petry

Keyword(s):

Set Theory ◽

Rough Set ◽

Fuzzy Set ◽

Rough Sets ◽

Rough Set Theory ◽

Object Oriented ◽

Uncertainty Management ◽

Database Model ◽

Management Of Uncertainty ◽

Object Oriented Database

This chapter discusses ways in which rough set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in design and querying of databases. Because rough sets are a versatile theory, they can also be combined with other theories. The authors discuss the rough relational database model, the rough object oriented database model, and fuzzy set and intuitionistic set extensions to each of these models. Comparisons and benefits of the various approaches are discussed, illustrating the usefulness and versatility of rough sets for uncertainty management in databases.

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Rough Sets

Database Technologies ◽

10.4018/978-1-60566-058-5.ch065 ◽

2009 ◽

pp. 1127-1150

Author(s):

Theresa Beaubouef ◽

Frederick E. Petry

Keyword(s):

Set Theory ◽

Rough Set ◽

Rough Sets ◽

Relational Databases ◽

Rough Set Theory ◽

Object Oriented ◽

Uncertainty Management ◽

Database Model ◽

Management Of Uncertainty ◽

Object Oriented Database

This chapter discusses ways in which rough-set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in the design and uerying of databases, because roughsets are a versatile theory, theories. The authors discuss the rough relational databases model, the rough object-oriented database model, and fuzzy set and intuitionistic set extensions to each of these models. Comparisons and benefits of the various approaches are discussed, illustrating the usefulness and versatility of rough sets for uncertainty management in databases.

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