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Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose Thalassemia

S. Thakur1 , S. N. Raw2 , A. Prakash3 , P. Mishra4 , R. Sharma5

  1. Department of Mathematics, National Institute of Technology, Raipur, India.
  2. Department of Ele. And Info. Engineering, Regent University, Accra, Ghana West Africa.

Correspondence should be addressed to: sapnarajput85@gmail.com .

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-6 , Page no. 54-61, Jun-2017

Online published on Jun 30, 2017

Copyright © S. Thakur, S. N. Raw, A. Prakash, P. Mishra, R. Sharma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Thakur, S. N. Raw, A. Prakash, P. Mishra, R. Sharma, “Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose Thalassemia,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.54-61, 2017.

MLA Style Citation: S. Thakur, S. N. Raw, A. Prakash, P. Mishra, R. Sharma "Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose Thalassemia." International Journal of Computer Sciences and Engineering 5.6 (2017): 54-61.

APA Style Citation: S. Thakur, S. N. Raw, A. Prakash, P. Mishra, R. Sharma, (2017). Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose Thalassemia. International Journal of Computer Sciences and Engineering, 5(6), 54-61.

BibTex Style Citation:
@article{Thakur_2017,
author = {S. Thakur, S. N. Raw, A. Prakash, P. Mishra, R. Sharma},
title = {Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose Thalassemia},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2017},
volume = {5},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {54-61},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1303},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1303
TI - Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose Thalassemia
T2 - International Journal of Computer Sciences and Engineering
AU - S. Thakur, S. N. Raw, A. Prakash, P. Mishra, R. Sharma
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 54-61
IS - 6
VL - 5
SN - 2347-2693
ER -

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Abstract

In this paper We have designed a Thalassemia diagnosis model under some fuzzy rules. The performance of the system is approximately similar as the clinical results. Also, through this system the category of Thalassemia disease can be predictable. We have used MATLAB tool of Mamdani Fuzzy Inference System (FIS) to identify the severity of the disease. The objective of this research is to create a Fuzzy model for Thalassemia disease diagnosis. The results in this work can be obtained by a simple and inexpensive method. This would generate, in economic terms, significant savings.

Key-Words / Index Term

Fuzzy Logic, Mamdani FIS, Symptoms of Thalassemia, Thalassemia Disease.

References

Grow K, Vashist M, Abrol P, Sharma S, Yadav R. “Beta Thalassemia in India: Current Status and the Challenges Ahead”. International journal of Pharmacy and Pharmaceutical Science , Vol.3, Issue.4, pp.28-33, 2014.
[2] G. Vijay, G. David, “Thalassemia: An Overview of 50 Years of Clinical Research”, Elsevier- Hematology/Oncology Clinics of North America, Vol.24, Issue.6, pp. 1005-1020, 2010.
[3] S. Thakur, R. Sharma, “Prevention Measures for Thalassemia in Chhattisgarh, India: with the help of mathematical models”, American Journal of Mathematics and Mathematical Sciences Vol.2, Issue.2, pp.193-200, 2013.
[4] F. Aversa, E. Gronda, S. Pizzuti, C. Aragno, “A fuzzy logic approach to decision support in medicine”, Proceedings of the Conference on Systemics, Cybernetics and Informatics, 2002.
[5] A. Novruz, “Design of Fuzzy Expert Systems and Its Applications in Some Medical Areas”, International Journal of Applied Mathematics, Electronics and Computers , Vol 2, Issue.1, pp.1-8, 2014.
[6] C. Tamalika, C Tridib, “Intuitionistic fuzzy sets: Application to medical image segmentation”, Studies in Computational Intelligence, Springer, Vol.85, pp.51-68, 2008.
[7] C. Schuh, “Fuzzy sets and their application in medicine”, Proceedings of the North American Fuzzy Information Society, pp.86-91, 2005.
[8] K. Yamada, “Diagnosis under compound effects and multiple causes by means of the conditional causal possibility approach”, Fuzzy Sets and Systems, Vol.145, pp.183-212, 2004.

[9] Shradhanjali, “Fuzzy Petry Net Application: Heart Disease Diagnosis”, International Conference on Computing and Control Engineering, 2012.
[10] K. Lavanya, M.A. Durai, S.N. lyengar, “Fuzzy Rule Based Inference System for Detection and Diagnosis of Lung Cancer”, International journal of Latest Trends in computing, Vol.2, pp.165-169, 2011.
[11] A. Adeli, M. Neshat, “ A Fuzzy Expert System for Heart Disease Diagnosis”, Proceedings of the International Multi Conference of Engineers and Computer Scientists , Vol .1, pp.136-139, 2010.
[12] J. Soni, U. Ansari, D. Sharma, “Intelligent and Effective Heart Disease Prediction System using Weighted Associative classifiers”, International Journal on Computer Science and Engineering, Vol.3, Issue.6, pp.2385-2392, 2011.
[13] M. Neshat, M. Yaghobi, M.B. Naghibi, A. Esmaelzadeh, “Fuzzy Expert System Design for Diagnosis of liver Disorders”, IEEE Proceeding International Symposium on Knowledge Acquisition and Modeling, pp.252-256, 2008.
[14] M. Kadhim, M. Alam, H. Kaur, “Design and Implementation of Fuzzy Expert System for Back pain Diagnosis”, International Journal of Innovative Technology & Creative Engineering, Vol .1, Issue.9, pp.16-22, 2011.
[15] H.J. Zimmermann, “Fuzzy Set Theory And its Application”, Third Edtion, Kluwer Academi Publishers, 1996.
[16] L.A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, pp. 338-353, 1965.
[17] S. Hemba, N. Islam, “Fuzzy Logic: A Review”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.2, pp.61-63, 2017.
[18] T. Kasbe, R. S. Pippal, “Dengue Fever: State-of-the-Art Symptoms and Diagnosis”, International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.26-30, 2016.
[19] T. Takagi, S. Sugeno, “Fuzzy identification of systems and its applications to modeling and control”, IEEE Transactions on Systems Man and Cybernetics, Vol.15, Issue.1, pp.116-132, 1985.
[20] E.P. Dadios, “Fuzzy Logic Controls, Concepts, Theories and Applications”, InTech, pp. 325-350, 2012.
[21] J. Alain, M.D.Marengo-Rowe, “The Thalassemias and related Disorders”, Baylor University of Medical Center Proceedings, Vol. 20, pp.27–31, 2007.