Paper Info
Title
A deductive probabilistic and fuzzy object-oriented database language
Abstract
We introduce a deductive probabilistic and fuzzy object-oriented model where a class property (i.e., an attribute or a method) can contain fuzzy set values, and uncertain class membership and property applicability are measured by lower and upper bounds on probability. Each uncertainly applicable property is interpreted as a default probabilistic logic rule, which is defeasible, and probabilistic default reasoning on fuzzy events is proposed for uncertain property inheritance and class recognition. This provides a formal basis for the design and implementation of FRIL++, the object-oriented extension of FRIL, a logic programming language dealing with both probability and fuzziness. The basic features of FRIL++ and its application as a programming language for deductive probabilistic and fuzzy object-oriented databases are presented.
Year
DOI
Venue
2003
10.1016/S0165-0114(03)00031-9
Fuzzy Sets and Systems
Keywords
Field
DocType
Fuzzy object-oriented databases,FRIL++
Fuzzy classification,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Probabilistic argumentation,Logic programming,Probabilistic logic,Fuzzy number,Fril,Machine learning
Journal
Volume
Issue
ISSN
140
1
0165-0114
Citations 
PageRank 
References 
7
0.51
15
Authors
2
Name
Order
Citations
PageRank
T.H. Cao1202.34
J.M. Rossiter2242.97