Applications of Rough Patterns

Pawan Lingras
Algoma University College
Sault Ste. Marie, Ontario, P6A 2G4, Canada

Abstract

This paper discusses the notion of rough patterns and its potential applications. Rough patterns are based on the notion of rough values. A rough value consists of an upper and a lower bound. A rough value can be used to effectively represent a range of values of variables. The paper summarizes three different experiments that demonstrate the use of rough patterns in neuro-computing. Fuzzy values are also shown to provide potentially useful compliments to the rough values.