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Fuzzy Multiple Linear Regression

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Part of the SpringerBriefs in Water Science and Technology book series (BRIEFSWATER)

Abstract

This chapter discusses the construction of the fuzzy multiple linear regression by embedding the spreading value and the crisp in the formulation. We begin by discussing the standard multiple linear regression. Then a method to calculate the spreading value is discussed in details. We propose a new method to calculate the spreading value. We establish the fuzzy multiple linear regression formulation by using fuzzy triangular number with symmetric property. This to ensure that, the calculation be made faster compared with asymmetric fuzzy triangular number.

Keywords

Symmetric Spreading value Triangular fuzzy number Least square Fuzzy coefficient 

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Copyright information

© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Fundamental and Applied Sciences Department and Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous SystemUniversiti Teknologi PETRONASSeri IskandarMalaysia
  2. 2.Fundamental and Applied Sciences DepartmentUniversiti Teknologi PETRONASSeri IskandarMalaysia

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