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The New Architecture of Simplified Fuzzy ARTMAP for Supporting Medical Diagnostic Reasoning

by Pranamika Kakati, Hemanta K. Baruah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 17
Year of Publication: 2013
Authors: Pranamika Kakati, Hemanta K. Baruah
10.5120/14215-2413

Pranamika Kakati, Hemanta K. Baruah . The New Architecture of Simplified Fuzzy ARTMAP for Supporting Medical Diagnostic Reasoning. International Journal of Computer Applications. 81, 17 ( November 2013), 16-19. DOI=10.5120/14215-2413

@article{ 10.5120/14215-2413,
author = { Pranamika Kakati, Hemanta K. Baruah },
title = { The New Architecture of Simplified Fuzzy ARTMAP for Supporting Medical Diagnostic Reasoning },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 17 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number17/14215-2413/ },
doi = { 10.5120/14215-2413 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:18.808438+05:30
%A Pranamika Kakati
%A Hemanta K. Baruah
%T The New Architecture of Simplified Fuzzy ARTMAP for Supporting Medical Diagnostic Reasoning
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 17
%P 16-19
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this article, we would like to deal with the new architecture of Simplified Fuzzy ARTMAP which can be contributed to the extended definition of complementation of Fuzzy sets on the basis of reference function. Simplified Fuzzy ARTMAP potentially has great value in decision support applications. The extended definition of complementation is based on the fact that Fuzzy membership function and Fuzzy membership value for the complement of a Fuzzy set are two different things. On the basis of this extended definition of complementation, we have already established a new Similarity Measure for Fuzzy sets and also we have shown its effectiveness in Medical Diagnostic reasoning together with the verification of the results obtained from its application with the help of traditional Hamming Distance and Euclidean Distance measures. In this paper, our aim is to show the effectiveness of the new architecture of Simplified Fuzzy ARTMAP in supporting Medical Diagnostic reasoning. We shall apply the new Simplified Fuzzy ARTMAP to evaluate the same data, we used to show the effectiveness of the new Similarity Measure in Medical Diagnostic reasoning and validate the obtained results with the help of already verified results of the new Similarity Measure.

References
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  10. Pranamika Kakati (2013). "A Study on Similarity Measure for Fuzzy Sets" International Journal of Advanced Research in Computer Science and Softaware Engineering, vol. 3 Issue 8, pp. 97-103, August 2013.
  11. Pranamika Kakati (2013) "A New Similarity Measure for Fuzzy Sets with the Extended Definition of Complementation"International Journal of Soft Computing and Engineering, Volume 3 Issue 4, pp. 203-207, September, 2013.
  12. Pranamika Kakati (2013) "A Note on the New Similarity Measure for Fuzzy sets" International Journal of Computer Applications Technology and Research, Volume 2 Issue 5, pp. 601-605, September-October, 2013.
  13. 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.
  14. Pranamika Kakati (2013) "A New Architecture of Simplified Fuzzy ARTMAP with the Extended Definition of Complementation" International Journal of Computer Technology and Applications, Volume 4 Issue 5, pp. 772-784, September-October, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy set Complement of a Fuzzy set Fuzzy membership value Fuzzy membership function Fuzzy reference function Similarity measure Simplified Fuzzy ARTMAP Medical Diagnostic reasoning.

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