Research Journal of Pharmacy and Technology
SCOPUS
  • Year: 2018
  • Volume: 11
  • Issue: 1

Skin Disease analysis using Intuitionistic Fuzzy Set

  • Author:
  • A. Manimaran1,, B. Praba2, V. M. Chandrasekaran1,, Karan Agrawal3,, Akanksha Miharia3,
  • Total Page Count: 4
  • Page Number: 79 to 82

1 School of Advanced Sciences, VIT University, Vellore-6320141

2SSN College of Engineering, Kalavakkam, Chennai-603110, prabab@ssn.edu.in

3School of Computing Sciences and Engineering, VIT University, Vellore-6320143

*Corresponding Author E-mail: marans2011@gmail.com

**vmcsn@yahoo.com

***karan.agrawal170@gmail.com

****akanksha_miharia@outlook.com

Online published on 12 June, 2018.

Abstract

Skin diseases occurs in different patterns due to wide ranges of factor such as climatic conditions, geographical locations, pollution, hygienic standards, age, level of health care and many more. These diseases cause a lot of distress in human health. Intuitionistic fuzzy and intuitionistic fuzzy soft set theory plays a major role in handling vague concepts and it has been applied in many fields. In this paper we aim at finding the age group in which maximum skin diseases occurs using the concept of intuitionistic fuzzy soft set by using AGEMSD measure.

Keywords

Intuitionistic fuzzy, membership value, non membership value, intuitionistic fuzzy soft decision set, rank value, AGEMSD