Reduction Attributes By Using Pretopological Space Based on Similarity Matrix

Abstract

Attribute reduction and function selection have end up one of the essential steps for pattern recognition and machine getting to know responsibilities. The purpose of attribute reduction is to discover a minimal attribute subset that satisfies a few particular criteria, even as the minimal attribute subset is referred to as  attribute reduce. . In this paper a pretopological space in an information system is to be constructed, as well as defining some essential operations for the pretopological space and a brief study of its properties will be presented. Moreover,  we use similarity method by using pretopological space’ matrix to reduce the attribute. We will compare the pretopologies resulting after the removing of the attributes with the original pretopology resulting from the information system