方法对比

	理想解相似优劣排序法	Z-数扩展的COPRAS	Z数扩展的EDAS方法	MARCOS的Z数扩展
领域	决策	决策	决策	决策
方法族	MCDM	MCDM	MCDM	MCDM
起源年份	1981	2011	2011	2021
提出者	Hwang, C. L., Yoon, K.	Zadeh, L. A.	Zadeh, L. A.	Yazdani, M., Pamucar, D., Chatterjee, P., Torkayesh, A. E.
类型	Distance-based (compromise)	Z-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy)	Z-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy)	Z-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy)
开创性文献	Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag	Zadeh, L. A. (2011). A note on Z-numbers. Information Sciences	Zadeh, L. A. (2011). A note on Z-numbers. Information Sciences	Yazdani, M., Pamucar, D., Chatterjee, P., Torkayesh, A. E. (2021). A multi-tier sustainable food supplier selection model under uncertainty (MARCOS-D / Z-MARCOS adaptation). Operations Management Research
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相关	8	8	8	8
摘要	TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Z-COPRAS (Z-Number extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zadeh, L. A. in 2011. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Z-EDAS (Z-Number extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zadeh, L. A. in 2011. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Z-MARCOS (Z-Number extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Yazdani, M., Pamucar, D., Chatterjee, P., Torkayesh, A. E. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.