Adjustment of the Height Triangular Fuzzy Regression as Early Awareness of Breast Cancer

Authors

  • Zulfana Lidinillah Department of Technology and Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
  • Muhammad Ammar Shafi Department of Technology and Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
  • Mohd Saifullah Rusiman Department Mathematics and Statistics, Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia Edu Hub Pagoh, 84600 Muar, Johor, Malaysia
  • Efendi Nasibov Department of Computer Science, Faculty of Science, Dokuz Eylul University, 35220 Izmir, Turkiye
  • Nor Faezan Abdul Rashid Surgery department, Hospital Al-Sultan Abdullah, Universiti Teknologi MARA, 42300 Bandar Puncak Alam, Selangor, Malaysia
  • Suraya Othman Surgery department, Hospital Al-Sultan Abdullah, Universiti Teknologi MARA, 42300 Bandar Puncak Alam, Selangor, Malaysia

DOI:

https://doi.org/10.37934/araset.52.2.189197

Keywords:

Breast cancer, Fuzzy linear regression, Multiple linear regression, Statistical error measurement

Abstract

Breast cancer is the most popular malignancy among Malaysian women. In Malaysia, approximately one in every 19 women is at risk. Breast cancer is the most common cancer among Malaysian women (32.9%), followed by colorectal (11.9%) and ovarian cancers (7.2%). Many cases are found to be advanced, with considerable tumour development or metastasis to untreatable locations and unaware of the factors. This study aims to determine the best height triangular fuzzy regression model by adjustment between 0 – 1 and measure the value of statistical error using mean square error (MSE) and root mean square error (RMSE). Secondary data was used where 569 patients having BREAST cancer and receiving treatment in hospitals was recorded by nurses and doctors. The patient data for breast cancer were analysed using MATLAB, SPSS, and Microsoft Excel. Based on the results, H = 0 of fuzzy linear regression is the best model to predict the breast cancer awareness with lowest value of MSE and RMSE by 1.455 and 1.206 respectively. Malaysians must be aware of the warning factors of breast cancer to increase survival and minimise death rates.

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Author Biographies

Zulfana Lidinillah, Department of Technology and Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia

zulfanalidinillah99@gmail.com

Muhammad Ammar Shafi, Department of Technology and Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia

ammar@uthm.edu.my

Mohd Saifullah Rusiman, Department Mathematics and Statistics, Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia Edu Hub Pagoh, 84600 Muar, Johor, Malaysia

saifulah@uthm.edu.my

Efendi Nasibov, Department of Computer Science, Faculty of Science, Dokuz Eylul University, 35220 Izmir, Turkiye

efendi.nasibov@deu.edu.tr

Nor Faezan Abdul Rashid, Surgery department, Hospital Al-Sultan Abdullah, Universiti Teknologi MARA, 42300 Bandar Puncak Alam, Selangor, Malaysia

faezan@uitm.edu.my

Suraya Othman, Surgery department, Hospital Al-Sultan Abdullah, Universiti Teknologi MARA, 42300 Bandar Puncak Alam, Selangor, Malaysia

suraya035@uitm.edu.my

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Published

2024-09-21

Issue

Vol. 52 No. 2: October (2025)

Section

Articles
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