Vertaile menetelmiä

	Z-lukujen sumea kompromissijärjestys etäisyyden perusteella ideaaliratkaisusta	CRiteria Importance Through Intercriteria Correlation (CRITIC)	Shannon-entropiapainotusmenetelmä
Tieteenala	Päätöksenteko	Päätöksenteko	Päätöksenteko
Menetelmäperhe	MCDM	MCDM	MCDM
Syntyvuosi	2022	1995	1948
Kehittäjä	Puška, A. Božanić, D. Nedeljković, M. Janošević, M.	Diakoulaki, D., Mavrotas, G., Papayannakis, L.	Shannon, C. E.
Tyyppi	Compromise ranking via distance to ideal/anti-ideal under Z-number uncertainty	Statistical contrast intensity + correlation-based objective weighting	Information-theoretic objective weighting (Shannon entropy)
Alkuperäislähde	Puška, A., Božanić, D., Nedeljković, M., Janošević, M. (2022). Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS Model. Axioms	Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal
Rinnakkaisnimet	—	—	—
Liittyvät	8	8	8
Tiivistelmä	ZF-CRADIS (Z-Number Fuzzy Compromise Ranking from Distance to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Puška, A. Božanić, D. Nedeljković, M. Janošević, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.