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  • 标题:Optimal allocation of human resources based on operational performance of organizational units using fuzzy game theory
  • 本地全文:下载
  • 作者:Rahim Khanizad ; Gholamali Montazer ; Saurabh Pratap
  • 期刊名称:Cogent Engineering
  • 电子版ISSN:2331-1916
  • 出版年度:2018
  • 卷号:5
  • 期号:1
  • 页码:1466382
  • DOI:10.1080/23311916.2018.1466382
  • 语种:English
  • 出版社:Taylor and Francis Ltd
  • 摘要:Abstract The allocation of human resources is considered as one of daily challenges of many organizations to achieve optimal efficiency. After investigating this challenge, in this research, a multi-agent system is used to make a cooperative game between organizational units for allocation of tasks and human resources in an organization. In the game, every unit provides a proposal for promoting his and other unit’s performance. Our model uses fuzzification to facilitate game process and increase probability of reaching an agreement in the game. Meanwhile it helps for simulation of real conditions in organizations. Results of the fuzzy game have shown that for special allocations of human resources and tasks, organizational performance is more desirable, and its productivity will be higher. We used an example to apply the model and show the results. The model can improve the human resources and task allocation in organizations by using a fuzzy game theory.
  • 关键词:human resources allocation ; game theory ; fuzzy sets theory ; negotiation ; operational performance
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