<html dir="ltr"><head><title></title></head><body>考虑实际决策环境的不确定性和复杂性, 提出一种具有多目标、多指标、多局势的灰靶决策模型. 首先, 将各局势在相应目标下的各指标集结为目标综合效果评价值, 从而简化复杂的多层决策问题; 然后, 集成各局势到正负靶心的空间投影距离, 提出一种新的综合靶心距, 并以综合靶心距最小化准则为目标函数构建非线性优化模型来求解最优的目标权重; 最后, 以某种产品的零部件绿色供应商的选择为例, 验证了基于正负靶心的多目标灰靶决策模型的有效性和实用性. </body></html>
2021-09-10 09:11:35
182KB
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Plot data and a linear regression model fit.
There are a number of mutually exclusive options for estimating the regression model. See the tutorial for more information.
2021-09-02 10:02:28
163B
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行业-电子政务-热电联产机组以热定电下可行运行区间的计算系统及方法.zip
2021-09-01 22:02:33
912KB
Abstract—Wind speed interval prediction plays an important role in wind power generation. In this article, a new interval construction model based on error prediction is
proposed. The variational mode decomposition is used to decompose the complex wind speed time series into simplified modes. Two types of GRU models are built for wind speed prediction and error prediction. Prediction error for each mode is given a weight and accumulated to obtain the width of the prediction interval. The particle swarm optimization algorithm is applied to search for the optimal weights of the prediction errors. Experiments considering eight cases from two wind fields are conducted by using methods of interval construction in the literature for comparison with the proposed model. The result shows that the proposed model can obtain prediction intervals with higher quality.
2021-08-25 17:05:36
2.55MB
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