Imperfection in information can be considered a crosscutting concern that manifests itself in diverse kinds of imprecision, uncertainty, or inconsistency in the data models of a software system. The extension of existing programming and querying interfaces for the different aspects of information im
Defining fuzzy relationships in object models: abstraction and interpretation
β Scribed by Valerie V. Cross
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 288 KB
- Volume
- 140
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
Many researchers have developed proposals for integrating fuzzy set theory into the knowledge representation methods used in conceptual data modeling. A primary objective of data modeling is to describe concepts and the relationships among the concepts. The basic relationships deΓΏned among the concepts are associated with general abstraction principles. These abstraction principles are examined. Several proposals for fuzzy extensions to these abstraction principles are reviewed. Recommendations for the application of fuzzy set theory in a generalized object model are made based on the abstraction principles and a review of proposals for fuzzy object models.
π SIMILAR VOLUMES
In the real world information is, for the most part, available in an imperfect form. Managing this kind of information with classical database systems brings a disadvantageous loss of data semantics along. Therefore, advanced database modelling techniques are necessary. This paper deals with a unifo