Premium
Measuring the quality of queries in the fuzzy relational databases
Author(s) -
Hsien NanChen,
Chiang DingAn,
Chiang Rick ChuTai
Publication year - 2001
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 - 10.1002/1098-111x(200102)16:2<191::aid-int30>3.0.co;2-j
Subject(s) - computer science , tuple , information retrieval , quality (philosophy) , relational database , data mining , database , conjunctive query , fuzzy logic , join (topology) , measure (data warehouse) , artificial intelligence , mathematics , philosophy , epistemology , discrete mathematics , combinatorics
In this paper, we develop a new method to measure the quality of each tuple as an answer with respect to Select‐Project‐Join (SPJ) queries so that we can determine which answers are better answers to the given query in a fuzzy relational database. The quality of an answer is viewed as how much sure information is provided, and how much extra information is needed so that it will be a sure answer to the query. The less extra information that is required and the more sure information that is provided by an answer, the higher the quality of that answer is, and in consequence, it will be more reliable. © 2001 John Wiley & Sons, Inc.