在标准粒子群算法中引入非线性变化权重和变异操作来保证全局收敛并提高收敛精度。
By introducing the nonlinear variation weight and mutational operation into the standard particle swarm algorithm to ensuring the overall convergence and enhance the accuracy of convergence.
论文列出了确定指标权重的具体操作方法和步骤。
The dissertation also lists specific operation methods and approaches to confirm the weight of each indicator.
利用属性重要度等概念，给出了一种基于粗集理论确定属性权重的方法及其具体操作步骤。
According to the concept of importance of attribute, this paper puts forward the method and detailed program of ascertaining attribute weight based on rough sets theory.
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