基于GPEM主旋律分析的系统序参量识别方法研究

发布时间：2018-06-03 23:30

本文选题：主旋律分析 + 序参量识别　；参考：《运筹与管理》2011年03期

【摘要】：针对系统的演化与发展,引入基于目标规划评价模型(GPEM)的主旋律分析方法,识别引导与支配系统发展的序参量。通过分析主旋律与序参量间的关系,认为在GPEM中的价值参数结构是二者的共同体现,且主旋律分析是序参量识别的前提与基础。应用基于GPEM的主旋律分析方法对系统所属群体进行相关计算,可以获得群体发展的主旋律,同时可以获得群体成员在各主旋律下的排名向量,进而认为与理想排名向量相似系数最高的主旋律在群体发展过程中发挥着关键性作用,则该主旋律对应的价值参数结构即为序参量。通过观察该主旋律所集聚成员在理想排名向量中的位置,来判断与分析序参量的特征。
[Abstract]:In view of the evolution and development of the system, the main melody analysis method based on the objective programming evaluation model (GPEM) is introduced to identify the order parameters that guide and dominate the development of the system. By analyzing the relationship between the main melody and the order parameter, it is considered that the value parameter structure in GPEM is the common embodiment of the two, and the thematic analysis is the premise and foundation of the order parameter recognition. By using the method of thematic analysis based on GPEM, the main melody of group development can be obtained, and the rank vector of group members under each theme can be obtained. Furthermore, it is considered that the main melody with the highest similarity coefficient to the ideal rank vector plays a key role in the development of the population, then the value parameter structure corresponding to the theme is the order parameter. By observing the position of the members in the ideal rank vector, we judge and analyze the characteristics of the order parameters.
【作者单位】：沈阳工业大学管理学院;东北大学工商管理学院;
【基金】：教育部人文社会科学研究青年基金资助项目(10YJC630272);教育部人文社会科学研究青年基金资助项目(09YJC630030) 国家自然科学基金资助项目(70971016)
【分类号】：C931.6

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