Open AccessNew Similarity Measure between Intuitionistic Fuzzy Multisets based on Tangent Function and its Application in Medical Diagnosis
Author(s) -
R. Muthuraj,
S. Devi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1030.0782s319
Subject(s) - closeness , similarity measure , vagueness , similarity (geometry) , measure (data warehouse) , membership function , fuzzy set , mathematics , function (biology) , medical diagnosis , vague set , computer science , artificial intelligence , data mining , fuzzy logic , pattern recognition (psychology) , medicine , image (mathematics) , mathematical analysis , pathology , evolutionary biology , biology
In recent years, Intuitionistic fuzzy set is very useful in decision making problems such as medical diagnosis, pattern recognition, clustering etc., which deals with vagueness and uncertainty. Similarity measure is a tool used to find the closeness of the intuitionistic fuzzy sets by considering the membership, nonmembership and hesitation function. In this paper, we propose an effective similarity measure based on tangent function for intuitionistic fuzzy multi sets in which membership, nonmembership, hesitation function occurs more than once and also we apply this measure in medical diagnosis and pattern recognition.