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

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

Mufala Khan, Rakesh Kumar, Gaurav Dhiman
Copyright: © 2022 |Pages: 20
ISBN13: 9781668444054|ISBN10: 1668444054|ISBN13 Softcover: 9781668444061|EISBN13: 9781668444078
DOI: 10.4018/978-1-6684-4405-4.ch006
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MLA

Khan, Mufala, et al. "A Comparative Study With Linear Regression and Linear Regression With Fuzzy Data for the Same Data Set: LRFD." AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management, edited by Sandeep Kumar Kautish and Gaurav Dhiman, IGI Global, 2022, pp. 97-116. https://doi.org/10.4018/978-1-6684-4405-4.ch006

APA

Khan, M., Kumar, R., & Dhiman, G. (2022). A Comparative Study With Linear Regression and Linear Regression With Fuzzy Data for the Same Data Set: LRFD. In S. Kautish & G. Dhiman (Eds.), AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management (pp. 97-116). IGI Global. https://doi.org/10.4018/978-1-6684-4405-4.ch006

Chicago

Khan, Mufala, Rakesh Kumar, and Gaurav Dhiman. "A Comparative Study With Linear Regression and Linear Regression With Fuzzy Data for the Same Data Set: LRFD." In AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management, edited by Sandeep Kumar Kautish and Gaurav Dhiman, 97-116. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-4405-4.ch006

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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.

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