Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital

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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...

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Bibliographic Details
Main Author:	Shafi, Muhammad Ammar
Format:	Thesis
Language:	English English
Published:	2015
Subjects:	QA273-280 Probabilities. Mathematical statistics
Online Access:	http://eprints.uthm.edu.my/1644/ http://eprints.uthm.edu.my/1644/1/24p%20MUHAMMAD%20AMMAR%20SHAFI.pdf http://eprints.uthm.edu.my/1644/2/MUHAMMAD%20AMMAR%20SHAFI%20WATERMARK.pdf

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