<p>This paper proposes an interval hesitant fuzzy multi-criteria decision-making model based on improved projection measure, aiming to solve the non-standardization problem in traditional methods. By improving the projection measure and ensuring that its value is in the interval [0,1], the stability and accuracy of the decision results are improved. Compared with the existing methods, this method shows stronger robustness in multi-criteria decision-making, especially in complex decision-making scenarios. The effectiveness of the model is verified by example analysis, which provides a new theoretical tool for multi-criteria comprehensive decision-making.</p>

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Interval-Valued Hesitant Fuzzy Decision Model Based on Improved Projection Measure

  • Tao Li,
  • Majid Khan Majahar Ali,
  • Xiaojie Zhou

摘要

This paper proposes an interval hesitant fuzzy multi-criteria decision-making model based on improved projection measure, aiming to solve the non-standardization problem in traditional methods. By improving the projection measure and ensuring that its value is in the interval [0,1], the stability and accuracy of the decision results are improved. Compared with the existing methods, this method shows stronger robustness in multi-criteria decision-making, especially in complex decision-making scenarios. The effectiveness of the model is verified by example analysis, which provides a new theoretical tool for multi-criteria comprehensive decision-making.