Title :
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
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;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.616340
