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Research Journal of Pharmacy and Technology
Year : 2016, Volume : 9, Issue : 2
First page : ( 177) Last page : ( 184)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2016.00032.9

A Review of Fuzzy Environmental Study in Medical Diagnosis System

Manimaran A.1,*, Chandrasekaran V.M.1, Praba B.2

1Applied Algebra Division, School of Advanced Sciences, VIT University, Vellore-632014, India

2SSN College of Engineering, Kalavakkam, Chennai-603110, India

*Corresponding Author E-mail: marans2011@gmail.com, vmcsn@yahoo.com, prabab@ssn.edu.in

Online published on 9 March, 2016.


Fuzzy logic is an effective tool to handle the ambiguity and uncertainty of real world systems. Also it has been successfully applied to a wide range of problems in different domains such as uncertainty and vagueness. In particular, medical diagnosis techniques have triggered many researchers in past decades. Sometimes, we may have vague concepts in medical system to analyze the diagnosis; such uncertainty can be dealt by using fuzzy sets. There are many methods to analyze the diseases in medical diagnosis such as fuzzy set, fuzzy inference system, fuzzy relation, fuzzy soft complement, fuzzy distance measure, intuitionistic fuzzy set and etc. In this paper, we discuss the aforementioned existing methods in fuzzy environment for medical diagnosis and also provide the direction for further research in medical applications.



Fuzzy set, Fuzzy soft set, Intuitionistic fuzzy set, Intuitionistic fuzzy soft set, Distance measure.


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