基于博弈论的子组件模糊聚类数学模型

Kou Xiaoxi, Cao Yan, Qiao Hu, Wu Yujia
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引用次数: 0

摘要

本文以子装配体识别问题为研究对象,结合子装配体识别算法的数学模型,分析了子装配体识别目标函数问题与博弈问题之间的相似性和对应映射关系。将子装配识别的目标函数转化为博弈参与者的利益,将参数变量转化为博弈策略空间。系统规划了子装配识别算法的博弈分析步骤,给出了基于博弈论的子装配模糊聚类数学模型。这有利于子装配识别算法目标函数各参数的确定,减少参数权值对算法结果的影响。具有实际的工程应用意义。Keywords-Mathematical模型;目标函数;博弈分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fuzzy Clustering Mathematical Model for Sub-assemblies Based on Game Theory
Taking sub-assembly recognition problem as the research object and combining with the mathematical model of sub-assembly recognition algorithm, this paper analyzes the similarity and corresponding mapping between the objective function problem of sub-assembly recognition and the game problem. The object function of sub-assembly recognition is transformed into the benefit of game participants, and the parameter variable is transformed into game strategy space. The steps of game analysis for sub-assembly recognition algorithm are systematically planned, and the fuzzy clustering mathematical model of sub-assembly based on game theory is given. It is beneficial to the determination of each parameter of the target function of sub-assembly recognition algorithm, and can reduce the influence of parameter weight on the result of the algorithm. It has practical engineering application significance. Keywords-Mathematical Model; Objective Function; Game Analysis
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