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Handling indefinite and maybe information in logical fuzzy relational databases
Author(s) -
Hsieh NanChen
Publication year - 2004
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10170
Subject(s) - relational calculus , relational database , tuple , relational algebra , fuzzy logic , computer science , fuzzy set operations , relational model , extension (predicate logic) , fuzzy set , fuzzy classification , codd's theorem , database model , data mining , type 2 fuzzy sets and systems , database , theoretical computer science , mathematics , artificial intelligence , programming language , discrete mathematics
In this article, fuzzy set theory uses an extension of the classical logical relational database model. A logical fuzzy relational database model was developed with the aim of manipulating imprecise information and adding deduction capabilities to the database system. The essence of this work is the detailed discussion on fuzzy definite, fuzzy indefinite, and fuzzy maybe information and the development of an information theoretical approach of query evaluation on the logical fuzzy relational database. We define redundancies among fuzzy tuples and the operator of their removal. A complete set of fuzzy relational operations in relational algebra and the calculus of linguistically quantified propositions are included also. © 2004 Wiley Periodicals, Inc.