International Journal of Fuzzy Mathematical Archive
  • Year: 2017
  • Volume: 14
  • Issue: 2

Diagnosis of Human Diseases with Fuzzy Expert System

1Department of Mathematics, K.N. Govt. Arts College for Women (A), Thanjavur, Tamlnadu, India

2Department of Mathematics, Poompuhar College (A), Nagappattinam, Tamlnadu, India

AMS Mathematics Subject Classification (2010): 05C15

Abstract

One of the major problems that both the developed and under-developed countries are facing is the difficulties of treating ill health People. Medical diagnosis usually involves careful examination of a patient to check the presence and strength of some features relevant to a suspected disease in order to take a decision whether the patient suffers from that disease or not. Fuzzy logic is a simple and effective technique that can be advantageously used for medical diagnosis of a wide range of diseases. Now a days fuzzy systems are being used successfully in an increasing number of application areas they use linguistic rules to describe it. The developed fuzzy expert system composed of four components which include the knowledge base, the fuzzification, the inference engine and defuzzification. This paper describe an aim to develop a fuzzy expert system for diagnosing human diseases.

Keywords

Fuzzy expert system, fuzzy logic, human disease diagnosis knowledge base, the fuzzification, the inference engine and defuzzification