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Kompromiss-programmering×Kriteriekorrelation och standardavvikelse objektiv viktning×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår19732010
UpphovspersonZeleny, M.Wang, Y. M., Luo, Y.
TypDistance-based — Lp metric to Pareto-optimal ideal (parametric p)Correlation-penalised standard-deviation weighting
UrsprungskällaZeleny, M. (1973). Compromise programming. In: Multiple Criteria Decision Making (Cochrane & Zeleny, eds.), Univ. of South Carolina Press link ↗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 DOI ↗
Alias
Närliggande88
SammanfattningCOMPROMISE-PROGRAMMING (Compromise Programming — Lp-metric distance to ideal solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Zeleny, M. in 1973. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.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.
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ScholarGateJämför metoder: COMPROMISE-PROGRAMMING · CCSD. Hämtad 2026-06-15 från https://scholargate.app/sv/compare