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Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

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Published on: October 11, 2018

A modified VIKOR method for multiple criteria analysis.

Chia-Ling Chang1

  • 1Department of Water Resources Engineering and Conservation, Feng Chia University, Seatwen, Taichung, Taiwan, Republic of China. f89541201@ntu.edu.tw

Environmental Monitoring and Assessment
|August 13, 2009
PubMed
Summary
This summary is machine-generated.

This study addresses issues with the VIKOR method for multi-criteria decision making (MCDM). A modified VIKOR approach is proposed to enhance solution efficiency and overcome numerical challenges in complex analyses.

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Area of Science:

  • Operations Research
  • Decision Science
  • Applied Mathematics

Background:

  • The VIKOR method is widely used for multi-criteria decision making (MCDM) with conflicting criteria.
  • Existing limitations in the traditional VIKOR method can lead to numerical difficulties.

Purpose of the Study:

  • To identify and discuss the inherent problems within the traditional VIKOR method.
  • To develop a modified VIKOR method that resolves numerical challenges.

Main Methods:

  • Analysis of existing VIKOR method limitations.
  • Development of a modified VIKOR algorithm.
  • Design and assessment of synthetic experiments to validate the modified method.

Main Results:

  • The modified VIKOR method effectively avoids numerical difficulties encountered in the traditional approach.
  • Improved solution efficiency was demonstrated through synthetic experiments.

Conclusions:

  • The modified VIKOR method offers a more robust and efficient solution for multi-criteria decision making problems.
  • This enhancement is particularly valuable in multi-criteria analysis (MCA) applications.