Analogical reasoning to answer null queries in fuzzy object-oriented data model

Author

Wang, Shyue-Liang ; Huang, Ta-Jung

Author_Institution

Dept. of Inf. Manage., Kaohsiung Polytech. Inst., Taiwan

Volume

1

fYear

1997

Firstpage

31

Abstract

Reasoning by analogy is an important inference tool in AI research. Null queries are queries that elicit a null answer from the database. Analogical reasoning utilizing fuzzy functional dependency to answer null queries on fuzzy relational databases have been studied. In this work, we present an approach to obtain approximate answers for null queries on similarity-relation-based fuzzy object-oriented data model. Based on the concept of contexts on domain attributes, our approach is a generalization of the former models of analogy

Keywords

case-based reasoning; object-oriented databases; query processing; relational databases; analogical reasoning; contexts; domain attributes; fuzzy functional dependency; fuzzy object-oriented data model; fuzzy relational databases; null queries; reasoning by analogy; similarity-relation-based fuzzy object-oriented data model; Artificial intelligence; Context modeling; Data models; Fuzzy reasoning; Information management; Object oriented databases; Object oriented modeling; Relational databases; Remuneration; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.616340

Filename

616340