Interval number grey target decision-making model based on multi-dimensional association sampling and its application.

The existing interval number grey target decision-making model ignores the important influence of interval distribution and the correlation between the indicators in scheme evaluation. And there are some fuzzy errors when setting the weight of indicators. In order to solve the above problems, this paper proposes an interval number grey target decision-making model based on multi-dimensional association sampling, taking into account the multi-dimensional joint probability density distribution of index space and its boundary, and weakens the impact of extreme index value on the decision-making results. In addition, this paper determines the weight of index by using set-valued statistical method, expanding the weight of grey target model from the real number sequence to the interval number sequence, and reducing the fuzzy error in the experts' judgment process. This improved model is applied to Pankon reservoir for the decision-making of water level operating in flood season. Compared with traditional models, the improved model fully considers the characteristics of interval data and the correlation between the indicators. Meanwhile, the setting of interval number weight is more scientific and reasonable. [ABSTRACT FROM AUTHOR]