Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital
Fuzzy linear regression analysis has become popular among researchers and standard model in analysing data vagueness phenomena. These models were represented by five statistical models such as multiple linear regression, fuzzy linear regression (Tanaka), fuzzy linear regression (Ni), extended fuzzy...
Saved in:
Main Author: | Shafi, Muhammad Ammar |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/1644/1/24p%20MUHAMMAD%20AMMAR%20SHAFI.pdf http://eprints.uthm.edu.my/1644/2/MUHAMMAD%20AMMAR%20SHAFI%20WATERMARK.pdf http://eprints.uthm.edu.my/1644/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Similar Items
-
A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction
by: Shafi, Muhammad Ammar, et al.
Published: (2019) -
Suatu perbandingan penilaian prestasi pelajar mengikut kaum di Fakulti Sains Dan Teknologi, UKM: kaedah model linear bayesian dan model linear klasik
by: Mohd Asrah, Norhaidah
Published: (2004) -
SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION
OF THE 582-BAR SPATIAL TRUSS STRUCTURE
by: Paknahad, M., et al.
Published: (2023) -
Robust linear discriminant analysis using MOM-Qn and WMOM-Qn estimators: Coordinate-wise approach
by: Melik, Hameedah Naeem
Published: (2017) -
Comparison of parametric models using right censored data for breast cancer patients
by: Amran, Syahila Enera
Published: (2018)