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An analysis of the Kumaraswamy distribution for multi-objective probabilistic linear fractional programming problem

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Názov:	An analysis of the Kumaraswamy distribution for multi-objective probabilistic linear fractional programming problem
Autori:	HAMEDA MOHAMED ALAMA, MUSTAFA OMRAN ALSHRANI
Informácie o vydavateľovi:	Springer Science and Business Media LLC, 2025.
Rok vydania:	2025
Popis:	A technique for solving a multi-objective probabilistic linear fractional programming MOPLFP problem is presented, a Kumaraswamy distribution describes the parameters of the right-hand constraints. There is no direct solution to the MOPLFP problem. Three steps are needed to transform the proposed model into a known standard mathematical model. To illustrate the method, a numerical example and a practical example in the case of supply chain management are presented. The results indicate that the objective functions have dominant solutions. AMS Subject Classiffcation: 90C15; 90C29; 90C32.
Druh dokumentu:	Article
DOI:	10.21203/rs.3.rs-5020531/v1
Rights:	CC BY
Prístupové číslo:	edsair.doi...........907fec34838e8b3922d8a0408fb8a8ed
Databáza:	OpenAIRE

Popis
Abstrakt:	A technique for solving a multi-objective probabilistic linear fractional programming MOPLFP problem is presented, a Kumaraswamy distribution describes the parameters of the right-hand constraints. There is no direct solution to the MOPLFP problem. Three steps are needed to transform the proposed model into a known standard mathematical model. To illustrate the method, a numerical example and a practical example in the case of supply chain management are presented. The results indicate that the objective functions have dominant solutions. AMS Subject Classiffcation: 90C15; 90C29; 90C32.
DOI:	10.21203/rs.3.rs-5020531/v1