An evolutionary strategic weight manipulation approach for multi-attribute decision making: TOPSIS method

DOI10.1016/j.ijar.2020.11.004OpenAlexW3101162656MaRDI QIDQ2658035

Yanyan Li

Publication date: 18 March 2021

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2020.11.004

zbMATH Keywords

genetic optimizationTOPSIS methodmulti-attribute decision makingnon-linear programming

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Editorial. Special issue on knowledge enhanced data analytics for autonomous decision making (KEDA for DM)

Uses Software

• MADM

Cites Work

• Comparison of weights in TOPSIS models
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• Inter-company comparison using modified TOPSIS with objective weights
• Preference modeling experiments with surrogate weighting procedures for the PROMETHEE method
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• Defending against strategic manipulation in uninorm-based multi-agent decision making
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• Determining objective weights in multiple criteria problems: The critic method
• The maximizing deviation method for group multiple attribute decision making under linguistic environment
• Comparing methods for multiattribute decision making with ordinal weights
• An extension of TOPSIS for group decision making
• A general multiple attribute decision-making approach for integrating subjective preferences and objective information
• Estimation of Attribute Weights from Preference Comparisons
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