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

Mufala Khan, Rakesh Kumar, Gaurav Dhiman

2022Advances in medical technologies and clinical practice book series25 citationsDOI

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.

Topics & Concepts

Proper linear modelRegression diagnosticLinear regressionData setData miningRegression analysisSet (abstract data type)Computer scienceFuzzy logicMathematicsStatisticsMachine learningArtificial intelligencePolynomial regressionProgramming languageFuzzy Systems and OptimizationMulti-Criteria Decision MakingFuzzy Logic and Control Systems