Linganisha mbinu

	Uzito wa CCSD (Criteria Correlation and Standard Deviation objective weighting)	Ujumuishaji Otomatiki wa Mpangilio wa Jozi wa Mstari	Tathmini ya Uwiano wa Nyongeza	Mbinu ya Kuweka Nafasi Mbadala kwa Kuzingatia Normalisation ya Hatua Mbili
Nyanja	Ufanyaji Maamuzi	Ufanyaji Maamuzi	Ufanyaji Maamuzi	Ufanyaji Maamuzi
Familia	MCDM	MCDM	MCDM	MCDM
Mwaka wa asili	2010	2020	2010	2022
Mwanzilishi	Wang, Y. M., Luo, Y.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zavadskas, E. K., Turskis, Z.	Zdravković, M., Hamid, M., Radovanović, M.
Aina	Correlation-penalised standard-deviation weighting	Pairwise dominance aggregation (automatic combination)	Additive utility ratio (optimal reference row)	Two-step normalisation (linear + vector) with weighted power aggregation
Chanzo asilia	Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling	Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy	Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering
Majina mbadala	—	—	—	—
Zinazohusiana	8	8	8	8
Muhtasari	CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.