Paper Info
Title
Reengineering Probabilistic Relational Databases with Fuzzy Probability Measures into XML Model
Abstract
AbstractThis paper concentrates on modeling probabilistic events with fuzzy probability measures in relational databases and XML Extensible Markup Language. Instead of crisp probability degrees or interval probability degrees, fuzzy sets are applied to represent imprecise probability degrees in relational databases and XML. A probabilistic XML model with fuzzy probability measures is introduced, which incorporates fuzzy probability measures to handle imprecision and uncertainty. In particular, the formal approach to reengineering the relational database model with fuzzy probability measures into the DTD document type definition model with fuzzy probability measures is developed in the paper.
Year
DOI
Venue
2017
10.4018/JDM.2017070102
Periodicals
Keywords
Field
DocType
Fuzzy Probability Measures,Fuzzy Sets,Mapping,Probabilistic XML Model,Probabilistic Relational Databases
Data mining,XML,Relational database,Computer science,Imprecise probability,Fuzzy set,Probabilistic logic,Relational model,Probabilistic database,Document type definition
Journal
Volume
Issue
ISSN
28
3
1063-8016
Citations 
PageRank 
References 
0
0.34
29
Authors
3
Name
Order
Citations
PageRank
Z. M. Ma160166.24
Chengwei Li2113.61
Li Yan325524.16