利用R范数q-rung图模糊信息测度的改进TOPSIS方法进行绿色供应商选择。

Himanshu Dhumras, Rakesh K Bajaj, Varun Shukla
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引用次数: 2

摘要

本通信介绍了一种新的判别测度,称为R-范数q-rung图模糊判别信息测度,该判别测度在性质上更为广义,并且具有处理不精确信息中继承的更大灵活性的能力。q-RPFS概念综合了图像模糊集和q-阶正射模糊集的优点,具有q阶关系的灵活性。然后,将所提出的参数测度应用于解决绿色供应商选择问题的传统“与理想解相似的订单偏好技术(TOPSIS)”中。以实证的形式展示了绿色供应商选择问题的拟议方法,以建立模型的一致性。此外,还讨论了所提出的方案在设置不精确性方面的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On utilizing modified TOPSIS with <i>R</i>-norm <i>q</i>-rung picture fuzzy information measure green supplier selection.

On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection.

The present communication introduces a new discriminant measure coined as R-norm q-rung picture fuzzy discriminant information measure which is more generalized in nature and has the capability to handle more flexibility inherited in the inexact information. The notion of q-rung picture fuzzy set (q-RPFS) has an integrated advantage of picture fuzzy set and q-rung orthopair fuzzy set with flexibility of qth level relations. The proposed parametric measure is then applied in the conventional "technique for order preference by similarity to the ideal solution (TOPSIS) method" for solving a green supplier selection problem. The numerical illustration to exhibit the proposed methodology for the green supplier selection problem has been presented in an empirical form to establish the consistency of the model. Also, the advantageous features of the proposed scheme in the setup of impreciseness have been discussed.

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