王四春, 张泰山, 殷志云, 张楚文. 基于GP的多目标决策函数稳定性分析【撤稿】[J]. 计算机研究与发展, 2005, 42(8): 1318-1323.
 引用本文: 王四春, 张泰山, 殷志云, 张楚文. 基于GP的多目标决策函数稳定性分析【撤稿】[J]. 计算机研究与发展, 2005, 42(8): 1318-1323.
Wang Sichun, Zhang Taishan, Yin Zhiyun, Zhang Chuwen. Stability Analysis of Multiobjective Decision Functions Based on GP 【removal】[J]. Journal of Computer Research and Development, 2005, 42(8): 1318-1323.
 Citation: Wang Sichun, Zhang Taishan, Yin Zhiyun, Zhang Chuwen. Stability Analysis of Multiobjective Decision Functions Based on GP 【removal】[J]. Journal of Computer Research and Development, 2005, 42(8): 1318-1323.

Stability Analysis of Multiobjective Decision Functions Based on GP 【removal】

• 摘要: 在多目标决策问题中，必须设定许多值.由于受到主观因素的影响，不同目标的重要性和可行性方案的效用值有时非常逼近.因此，分析设定值的微小变动对决策结果的敏感度影响尤为重要，根据期望的要求选择一个决策函数，尽可能地求出一个稳定的解，这是求解决策问题的根本任务.提出了一种基于遗传程序设计(GP)的新方法，该方法能产生比普通方法更好的决策函数，理论上的期望值得到实例的验证.

Abstract: In multiobjective decision proplems many values must be assigned, such as the importance of the different criteria and the values of the alternatives with respect to subjective criteria. Since these assignments are approximate, it is very important to analyze the sensitivity of results when small modifications of the assignments are made. When solving a multicriteria decision problem, it is desirable to choose a decision function that leads to a solution as stable as possible. Proposed here is a method based on genetic programming that produces better decision functions than the commonly used ones. The theoretical expectations are validated by case studies.

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