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A New ELECTRE Method Based on Left and Right Score for Multicriteria Decision-Making.

Faeze Jokar1, M Jalali Varnamkhasti1, A Hadi-Vencheh1

  • 1Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.

Computational Intelligence and Neuroscience
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Summary

This study enhances the ELECTRE (Elimination and Choice Translating Reality) multicriteria decision-making method by incorporating interval fuzzy numbers. The improved approach addresses weaknesses in traditional ELECTRE, offering a more complete ranking of system performance.

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Area of Science:

  • Operations Research
  • Decision Science

Background:

  • Multicriteria decision-making (MCDM) is crucial for system performance evaluation.
  • The ELECTRE (Elimination and Choice Translating Reality) method is a widely used MCDM technique.
  • Classical ELECTRE has limitations, including threshold dependency and incomplete ranking outcomes.

Purpose of the Study:

  • To address the weaknesses of the traditional ELECTRE method.
  • To introduce an enhanced ELECTRE approach using interval fuzzy numbers.
  • To improve the completeness and accuracy of system performance rankings.

Main Methods:

  • Modification of the ELECTRE method by integrating interval fuzzy numbers.
  • Development of a fuzzy-based approach to handle uncertainty in decision-making.
  • Utilizing left and right interval numbers for improved coordination analysis.

Main Results:

  • The proposed interval fuzzy ELECTRE method overcomes limitations of the classical approach.
  • Demonstrated ability to provide more complete and final rankings.
  • Effectiveness validated through examples from previous research.

Conclusions:

  • The interval fuzzy number approach significantly enhances the ELECTRE method.
  • This fuzzy-based ELECTRE technique offers a more robust solution for MCDM problems.
  • The improved method provides superior system performance ranking capabilities.