Title :
Fuzzy SQL Queries with Weights Based on Fuzzy Logic Conjunctions
Author :
Zhang, Ying-Chao ; Hui, Wang ; Ye, Xiao-Ling
Author_Institution :
Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
The previous work studied such queries as simple query, compound query, multi-relational query, sub-query and etc, which solved fuzzy questions to some extent. But the logic conjunction was always AND or OR, Based on Zadehpsilas fuzzy theory, fuzzy logic conjunctions and weights are introduced here to extend fuzzy queries. This kind of fuzzy query will be solved here through combinations of fuzzy theory and SQL functions, which will improve fuzzy query system, thus enabling more effective queys.
Keywords :
fuzzy logic; fuzzy set theory; query processing; compound query; fuzzy SQL queries; fuzzy logic conjunctions; fuzzy theory; multi-relational query; Chaos; Databases; Fuzzy logic; Fuzzy sets; Fuzzy systems; ISO; Information retrieval; Information science; Intelligent systems; Natural languages;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.337
