Measuring the quality of queries in the fuzzy relational databases

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 fuzz y 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 i t will be a sure answer to the query. The less extra information that is re quired and the more sure information that is provided by an answer, the hig her the quality of that answer is, and in consequence, it will be more reli able. (C) 2001 John Wiley & Sons, Inc.