Databases are very important sources for storing huge size of data. Today, yearly producedinformation is expressed as multiple size of the amount that produced before. Retrieving correct data is asimportant as storing it. At this point, querying becomes more important. Classical SQL queries return arecord only if the database has a record which satisfies all search criteria. However, the user mostly wantsto see similar records when there is no perfect match. For this reason, studies are focused on flexible SQLqueries. In this sense, fuzzy logic can play an important role since it maintains the idea that there may beinterval values between true and false, contrary to the logic of Aristotle. Genetic algorithm based databasequerying is another flexible querying approach to the mentioned problem. In this work, both approachesare applied on a sample real-estate database and the results are compared while discussing the efficiency ofthe two methods.
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