Paper Info
Title
Fuzzy relational algebra for possibility-distribution-fuzzy-relational model of fuzzy data
Abstract
In the real world, there exist a lot of fuzzy data which cannot or need not be precisely defined. We distinguish two types of fuzziness: one in an attribute value itself and the other in an association of them. For such fuzzy data, we propose a possibility-distribution-fuzzy-relational model, in which fuzzy data are represented by fuzzy relations whose grades of membership and attribute values are possibility distributions. In this model, the former fuzziness is represented by a possibility distribution and the latter by a grade of membership. Relational algebra for the ordinary relational database as defined by Codd includes the traditional set operations and the special relational operations. These operations are classified into the primitive operations, namely, union, difference, extended Cartesian product, selection and projection, and the additional operations, namely, intersection, join, and division. We define the relational algebra for the possibility-distribution-fuzzy-relational model of fuzzy databases.
Year
DOI
Venue
1994
10.1007/BF01014018
J. Intell. Inf. Syst.
Keywords
Field
DocType
fuzzy database,fuzzy relational model of fuzzy data,fuzzy relational algebra,fuzzy retrieval,possibility distribution
Codd's theorem,Data mining,Relational calculus,Fuzzy classification,Relational database,Computer science,Fuzzy set operations,Type-2 fuzzy sets and systems,Fuzzy number,Relational model
Journal
Volume
Issue
Citations 
3
1
55
PageRank 
References 
Authors
2.46
8
2
Name
Order
Citations
PageRank
Motohide Umano118328.91
Satoru Fukami2677.72