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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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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi Publishing Corporation
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3804394/ https://ncbi.nlm.nih.gov/pubmed/24223501 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/202085 |
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