Design and development of an efficient data clustering algorithm of a data based controller for a multi-compressor system using fuzzy logic

摘要

In this paper, fuzzy clustering has been implemented for a multi-compressor system for the first time. The field of data mining developed as a means of extracting information and knowledge from databases to discover patterns or concepts that are not evident. We have established the fact that fuzzy clustering associates each pattern with every cluster using a membership function where as traditional clustering approaches generate partitions, where in patterns belong to one and only one cluster. In fuzzy clustering, a large collection of documents is clustered and each of the clusters is represented using its center. The fuzzy data-clustering algorithm generated for data based controller for the multi-compressor system enhances the efficiency by another 10-15.