Game-Theoretic Model of the Optimal Distribution of Labor Resources

I. Zaitseva, O. Malafeyev, S. Sychev, G. Badin, Diana Kurasova, T. Gurnovich
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引用次数: 1

Abstract

The article presents a model of the optimal distribution of labor resources. The developed game-theoretic model of a static optimal-purpose problem is described as a game in normal form. In the game, many workers and many enterprises are given, and the situation is a substitution. Each substitution is one of the possible assignments of workers to enterprises. An assessment criterion has been introduced to select an employee or enterprise. The number of the assessment criterion is called the utility for the employee from being assigned to the enterprise (degree of satisfaction of the interests of the player), and for the enterprise - the utility for the enterprise from appointing an employee to him (degree of satisfaction of the interests of the player). From the numbers of the evaluation criterion, the utility matrices are written and the matrix of winnings of the players in the game is constructed. The matrix is used to construct a compromise set in the game and find a compromise gain, which is the guaranteed gain of the least satisfied player. An algorithm for constructing a compromise set is presented in steps. For the algorithm, its temporal estimate and complexity class are found. Thus, the article presents a solution to the static problem of the optimal distribution of labor resources based on the principle of optimality of a compromise set.
劳动资源最优配置的博弈论模型
本文提出了一个劳动力资源优化配置模型。建立的静态最优目标问题的博弈论模型被描述为标准形式的博弈。在博弈中,许多工人和许多企业都是给定的,这种情况是一种替代。每一次替代都是工人对企业的一种可能分配。引入了一种评估标准来选择员工或企业。评估标准的数量称为员工从被分配到企业的效用(玩家利益满意度),以及企业-企业从任命员工到他的效用(玩家利益满意度)。根据评价准则的个数,写出效用矩阵,构造出博弈参与者的赢利矩阵。该矩阵用于构造博弈中的妥协集,并求出妥协收益,即最不满意玩家的保证收益。提出了一种构造妥协集的算法。给出了算法的时间估计和复杂度类。因此,本文提出了一种基于妥协集最优性原理的劳动力资源最优分配静态问题的求解方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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