Functional Dependencies Analyse in Fuzzy Relational Database Models
| Autor: | Miljan Vucetic |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry Relational database Fuzzy set 02 engineering and technology computer.software_genre Machine learning Database design Fuzzy logic Dependency theory (database theory) 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Relational model Fuzzy set operations 020201 artificial intelligence & image processing Data mining Artificial intelligence Functional dependency business computer |
| Zdroj: | JITA - Journal of Information Technology and Applications (Banja Luka) - APEIRON. 2 |
| ISSN: | 2233-0194 2232-9625 |
| DOI: | 10.7251/jit1102090v |
| Popis: | This paper presents a literature overview of Fuzzy Relational Database Models with emphasis on the role of functional dependencies in logical designing and modeling. The aim is the analysis of recent results in this field. Fuzzy set theory is widely applied for the classical relational database extensions resulting in numerous contributions. This is because fuzzy sets and fuzzy logic are powerful tool for manilupating imprecise and uncertain information. A significant body of research in efficient designing FRDM has been developed over the last decades. Knowing the set of functional dependencies, database managers have a chance to normalize the same eliminating redundancy and data anomalies. In this paper we have considered the most important results in this field. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|