ABSTRACT

 This project work aims to study Application of Fuzzy Logic to Diagnose Breast Cancer using fuzzy logic operations which are fuzzification, rule base and deffuzification. The number of images considered for the test included a database of 200 patients out of whom 15 were diagnosed with breast cancer via mammography. The methodology applied in the development of this system is Structured System Analysis and Design Methodology (SSADM). It identifies the problems that are inherent in the present system and which hinders the effective implementation of the scheme. This study therefore suggests the strategy that should be deployed in order to eradicate the problems of inconsistent diagnosis, is to develop fuzzy logic system that uses innovative approach to construct humanlike expertise within a specific domain, adapt themselves and learn to do better in changing environments and explain how they make decisions, this will result to adequate diagnosis of breast cancer. The programming language used in this project are Visual Basic .NET (VB.NET) of Microsoft visual studio and MSADB for the database.