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A Method to Dynamic Stochastic Multicriteria Decision Making with Log-Normally Distributed Random Variables

We investigate the dynamic stochastic multicriteria decision making (SMCDM) problems, in which the criterion values take the form of log-normally distributed random variables, and the argument information is collected from different periods. We propose two new geometric aggregation operators, such a...

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Detalles Bibliográficos
Autores principales:	Wang, Xin-Fan, Wang, Jian-Qiang, Deng, Sheng-Yue
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3804394/ https://www.ncbi.nlm.nih.gov/pubmed/24223501 http://dx.doi.org/10.1155/2013/202085

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