Weighted Kendall’s W
バージョン 1.0.5 (602 KB) 作成者:
Amin Mahmoudi
Weighted Kendall’s W is proposed by Mahmoudi et al. (2022) to check the agreement among raters while the importance of raters is not equal.
Weighted Kendall’s W is proposed by Mahmoudi et al. (2022) for the first time to check the agreement among raters while the importance of the raters is not equal. The original Kendall’s W (Kendall's coefficient of concordance) cannot consider the weights of the raters. It is a critical factor when the priority of the raters is not equal. When the weights of the raters are distributed equally, the value of Weighted Kendall’s W is equal to Kendall’s W. Therefore, this MATLAB file can solve both Weighted Kendall’s W and Kendall’s W. This file is very accurate and can consider the tie ranks perfectly. If you face any problem executing the code, please contact Amin Mahmoudi: pmp.mahmoudi@gmail.com. You can find the formulas and proofs in the following study:
- Mahmoudi, A., Abbasi, M., Yuan, J., & Li, L. (2022). Large-Scale Group Decision-Making (LSGDM) for Performance Measurement of Healthcare Construction Projects: Ordinal Priority Approach, Applied Intelligence. https://doi.org/10.1007/s10489-022-04094-y
Please do not forget to cite the above publication when you use this file.
引用
Mahmoudi, A., Abbasi, M., Yuan, J., & Li, L. (2022). Large-Scale Group Decision-Making (LSGDM) for Performance Measurement of Healthcare Construction Projects: Ordinal Priority Approach, Applied Intelligence. https://doi.org/10.1007/s10489-022-04094-y
Ataei, Y., Mahmoudi, A., Feylizadeh, M. R., & Li, D. F. (2020). Ordinal priority approach (OPA) in multiple attribute decision-making. Applied Soft Computing, 86, 105893.
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R2021b
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