Research Article
Analysis of the Algorithm for Medical Diagnostic Reasoning based on the New Similarity Measure of Fuzzy Set
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 102 - Issue 3 |
| Published: September 2014 |
| Authors: Pranamika Kakati |
10.5120/17795-8603
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Pranamika Kakati . Analysis of the Algorithm for Medical Diagnostic Reasoning based on the New Similarity Measure of Fuzzy Set. International Journal of Computer Applications. 102, 3 (September 2014), 18-21. DOI=10.5120/17795-8603
@article{ 10.5120/17795-8603,
author = { Pranamika Kakati },
title = { Analysis of the Algorithm for Medical Diagnostic Reasoning based on the New Similarity Measure of Fuzzy Set },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 102 },
number = { 3 },
pages = { 18-21 },
doi = { 10.5120/17795-8603 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Pranamika Kakati
%T Analysis of the Algorithm for Medical Diagnostic Reasoning based on the New Similarity Measure of Fuzzy Set%T
%J International Journal of Computer Applications
%V 102
%N 3
%P 18-21
%R 10.5120/17795-8603
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This article analyses the algorithm for Medical Diagnostic Reasoning based on the new Similarity measure of Fuzzy sets. The new Similarity measure is based on the fact that Fuzzy membership function and Fuzzy membership value for the complement of a Fuzzy set are two different things. In this paper, the analysis of the algorithm is carried out using Big O notation to find the order of growth for it.
References
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- Pranamika Kakati (2013) "The New Similarity Measure for Fuzzy Sets and Its application to Medical Diagnostic Reasoning" International Journal of Computer Application, Volume 80- No 15, pp. 13-17, October 2013.
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- Pranamika Kakati, Hemanta K. Baruah (2013) "The New Architecture of Simplified Fuzzy ARTMAP for Supporting Medical Diagnostic Reasoning" International Journal of Computer Application, Volume 81- No 17, pp. 16-19, November 2013.
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