Research Article
Which Objective Weight Method Is Better: PCA or Entropy?
Robert M.X. Wu1,2* & Yongwen Wang 3
1School of Engineering and Technology, Central Queensland University, Australia
2Shanxi Normal University, China
3Shanxi Fenxi Mining Industry (Group)
Robert M.X. Wu, School of Engineering and Technology, Central Queensland University, Australia
Received Date: March 07, 2022; Published Date: March 15, 2022
Abstract
Multi-criteria decision-making (MCDM) methods have significantly been used for evaluating and ranking critical factors with conflicting characteristics in different fields and disciplines. Up-to-date literature indicated no study reported which method was most suitable for assessing hazard, risk, and emergency assessment. Practicians were still seeking a single responsive approach to keep the computing system’s lower load. The recent study indicated the PCA as the predominant, and the Entropy method as the second most widely adopted method. However, there was no answer for a better approach between the PCA and Entropy method. The practical implication suggested that comparative analysis should always be conducted to each case and determine the appropriate weighting method in the relevant circumstances or business system applications.
Keywords:PCA, Entropy, Multi-criteria decision-making, weighting methods
-
Robert M.X., Wu Yongwen Wang. Which Objective Weight Method Is Better: PCA or Entropy?. Sci J Research & Rev. 3(3): 2022. SJRR.MS.ID.000558.