Feature Extraction Using Fuzzy Rule Based System

Data projection is an important tool in exploratory data analysis. Sammon’s non linear projection method lacks predictability and is ineffective for large data sets. To introduce predictability we implement an extension of Sammon’s algorithm using fuzzy logic approach. The fuzzy based rule model is implemented in the .Net framework using Microsoft Visual Studio with Visual C# as the programming language. The datasets used to test the system are stored in MS SQL Server databases and are programmatically linked with Visual Studio. The implemented algorithm is tested with a few datasets and is found to have good predictability and works well with large datasets.