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A Fuzzy Multi-criteria Decision Making Approach For Solving A Bi-objective Personnel Assignment Problem

机译:一种解决双目标人员分配问题的模糊多准则决策方法

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摘要

Effective personnel assignment is one of the most crucial tasks performed by the decision makers of a company. This paper proposes a systematic approach with a feedback mechanism in which the interdependences among positions and the differences among the selected employees are considered simultaneously. Unfortunately, the two combined considerations have rarely been discussed in the literature. The purpose of this approach is to obtain the best matching of candidates and positions in order to organize a collaboratively cross-functional team. In a fuzzy environment and, then, in the proposed approach, a bi-objective binary integer programming (BOBIP) model is formulated. Based on the weighted composite scores determined in the third step of the proposed procedure, the BOBIP model is transformed into a fuzzy bi-objective goal programming (FBOGP) model. An elaborately designed heuristic algorithm is developed to determine the appropriate values of several important parameters in the FBOGP model, which is solved using UNDO 8.0. An application example is illustrated, and two additional examples are tested. The results indicate that the proposed approach achieves the acceptable satisfaction level and requires less computation time than the brute force enumerative method.
机译:有效的人员分配是公司决策者执行的最关键的任务之一。本文提出了一种具有反馈机制的系统方法,该方法同时考虑了职位之间的相互依赖性和所选员工之间的差异。不幸的是,在文献中很少讨论这两种综合考虑。这种方法的目的是获得候选人和职位的最佳匹配,以组织一个跨职能的协作团队。在模糊环境中,然后在提出的方法中,建立了一个双目标二进制整数规划(BOBIP)模型。基于在该过程的第三步中确定的加权综合得分,将BOBIP模型转换为模糊双目标目标规划(FBOGP)模型。开发了精心设计的启发式算法,以确定FBOGP模型中几个重要参数的适当值,使用UNDO 8.0可以解决该问题。给出了一个应用示例,并测试了两个其他示例。结果表明,与蛮力枚举方法相比,该方法达到了满意的满意水平,所需的计算时间更少。

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