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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.
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.
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.
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