Cluster Detection Analysis Using Fuzzy RelationalDatabase

Pabitra Dey
2013 International Journal of Information and Electronics Engineering  
In order to handle imprecise and ambiguous information, the application of fuzzy set theory for the design of database, information storage and retrieval systems has been gaining popularity recently. This paper gives emphasis on the basic characteristics of fuzzy relational databases, their properties, along with the data clustering in database systems. Indian premier league dataset has been considered for the detection of clusters. Several clustering parameters like centroid, radius and
more » ... , radius and Manhattan distance measure have been applied. The definition of clusters as well as the membership function has been implemented using PL/SQL. The results obtained from Indian premier league batting statistics dataset detect two clusters, namely Cluster 1 and Cluster 2. Finally, this article proposed a fuzzy database organization and clustering of records which provides efficient and accurate fuzzy retrieval. Index Terms-Cluster analysis, fuzzy set theory, data mining, fuzzy relational database, information retrieval.
doi:10.7763/ijiee.2013.v3.306 fatcat:z57g6b3g4jch7hjgozb36caklm