RISK ASSESSMENT OF GASTRIC AND PROSTATE CANCER  PATIENTS USING FUZZY SOFT SET THEORY WITH MAMDANI  AND SUGENO FUZZY INFERENCE SYSTEMS

Mr. Tabendra Nath Das

RISK ASSESSMENT OF GASTRIC AND PROSTATE CANCER PATIENTS USING FUZZY SOFT SET THEORY WITH MAMDANI AND SUGENO FUZZY INFERENCE SYSTEMS

Authors

Mr. Tabendra Nath Das

Keywords:

Fuzzy soft sets, Mamdani fuzzy inference, Sugeno fuzzy inference, cancer diagnosis, gastric cancer, prostate cancer, fuzzy logic, medical risk assessment.

Abstract

Accurate risk assessment of cancer patients is vital for early diagnosis, targetedtreatment, and improved survival rates. Traditional statistical models often fall short whendealing with imprecise, incomplete, or ambiguous medical data. To address this challenge, thepresent study introduces a hybrid intelligent framework that integrates Fuzzy Soft Set Theory

References

S. Kumar, A. Sharma, and M. Choudhury, “Fuzzy logic and soft computing approaches in clinical decision support systems: A review,” IEEE Reviews in Biomedical Engineering, vol. 16, pp. 45–60, Jan. 2023.

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Published

2024-02-15

How to Cite

Mr. Tabendra Nath Das. (2024). RISK ASSESSMENT OF GASTRIC AND PROSTATE CANCER PATIENTS USING FUZZY SOFT SET THEORY WITH MAMDANI AND SUGENO FUZZY INFERENCE SYSTEMS. Journal of Computational Analysis and Applications (JoCAAA), 33(2), 1603–1628. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3242