A Comparative Study With Linear Regression and Linear Regression With Fuzzy Data for the Same Data Set-Reference-Cited by-同舟云学术

A Comparative Study With Linear Regression and Linear Regression With Fuzzy Data for the Same Data Set

Published:2022-06-30 Issue: Volume: Page:97-116
ISSN:2327-9354
Container-title:AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
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Author:

Khan Mufala¹,Kumar Rakesh¹,Dhiman Gaurav²

Affiliation:

1. Lovely Professional University, India

2. Department of Computer Science, Government Bikram College of Commerce, Patiala, India & University Centre for Research and Development, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali, India & Department of Computer Science and Engineering, Graphic Era University (Deemed), Dehradun, India

Abstract

Regression analysis is a quantitative research tool that is used to model and analyse multiple variables in a dependent-independent relationship in order to create the most accurate forecast. These models do not forecast the real value of the data due to uncertainty. As a result, fuzzy regression is critical in overcoming or addressing this type of problem. In this chapter, the authors presented a comparative study of LR models and LR models using fuzzy data and real experimental data. The computational results demonstrate the best linear models for the data set.

Publisher

IGI Global

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