Application of Granular Computing in Extension Criminal Reconnaissance System

Abstract

aim of granular computing is to obtain feasible approximate solutions satisfied enough with least complexity. The logic reasoning process using extension method actually implies the ideal of granular computing. This paper uses the relation-element as the measure of granulation and applies granular computing to the reasoning process of the extension criminal reconnaissance system to reduce the complexity of the extension inference.