A relational database role in handling fuzziness of real world

In this paper we deal with relevance and possibilities of fuzzy relational databases regarding its applications in data managing and manipulation. Authors have presented contributions, aspects and approaches in solving different tasks in relational databases using fuzzy concept. Fuzzy logic and fuzzy relations play a crucial role in overcoming the limitations of traditional relational databases including data representation, date retrieval, knowledge discovery, data classification, data mining, approximate reasoning, and other data intensive applications. Actually, we cannot neglect facts that data and rules expressing real world are not always crisp. This paper presents perspectives of fuzzy relational databases in attempts to apply these concepts into the practice and methods for handling with fuzzy data.