A grey multi-stage dynamic multiple attribute decision making method

To tackle a class of grey multi-index decision problems with completely unknown attribute weighted values and interval grey number, a dynamic multi-stage decision-making method is proposed based on the grey system theory. Firstly, we presented a method for comparison of two grey numbers and identifi...

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Bibliographic Details
Published inProceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services pp. 548 - 550
Main Authors Cui Jie, Liu Si-feng, Dang Yao-guo, Xie Nai-ming, Zeng Bo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
grey system
interval grey number
multi-stage dynamic decision-making
multiple attribute decision making
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ISBN9781612844909
1612844901
ISSN2166-9430
DOI10.1109/GSIS.2011.6044073

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Summary:To tackle a class of grey multi-index decision problems with completely unknown attribute weighted values and interval grey number, a dynamic multi-stage decision-making method is proposed based on the grey system theory. Firstly, we presented a method for comparison of two grey numbers and identification of the attribute weighted values. Secondly, the experts expressed attribute values in internal grey numbers by multiple stages. Finally the obtained attribute weights and values are aggregated to solve the multiple-stages evaluation problem.
ISBN:9781612844909
1612844901
ISSN:2166-9430
DOI:10.1109/GSIS.2011.6044073