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

Authors

  • S Thakur Department of Mathematics, National Institute of Technology, Raipur, India
  • SN Raw Department of Mathematics, National Institute of Technology, Raipur, India
  • A Prakash Department of Mathematics, National Institute of Technology, Raipur, India
  • P Mishra Department of Mathematics, National Institute of Technology, Raipur, India
  • R Sharma Department of Ele. And Info. Engineering, Regent University, Accra, Ghana West Africa

Keywords:

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

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.

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Published

2025-11-11

How to Cite

[1]
S. Thakur, S. Raw, A. Prakash, P. Mishra, and R. Sharma, “Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose Thalassemia”, Int. J. Comp. Sci. Eng., vol. 5, no. 6, pp. 54–61, Nov. 2025.

Issue

Vol. 5 No. 6 (2017): IJCSE June Edition

Section

Research Article

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