首页> 外文期刊>Journal of Scientific & Industrial Research >Optimization of Human Resources and Industrial Banks with Ambiguous Inputs Using Intelligent Fuzzy Mathematical Programming Approach
【24h】

Optimization of Human Resources and Industrial Banks with Ambiguous Inputs Using Intelligent Fuzzy Mathematical Programming Approach

机译:智能模糊数学规划方法优化输入模糊的人力资源和产业银行

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents an integrated fuzzy data envelopment analysis (FDEA) and analytical hierarchy process (AHP) approach for optimization and ranking of industrial banks with ambiguous human resources indicators. FDEA is proposed to consider the uncertainty existed within qualitative indicators since in actual cases the criteria for evaluating human resources cannot precisely be measured. Also, AHP is used for identifying weights and priorities of different human resources indicators. Results were validated and verified by conventional mathematical models. The proposed approach can also be used for optimum human resources operation in large industrial banks. This is the first study that presents an integrated FDEA-AHP approach for ranking and optimization industrial banks with ambiguous human resources indicators.
机译:本文提出了一种集成的模糊数据包络分析(FDEA)和层次分析法(AHP)的方法,用于具有模糊人力资源指标的工业银行的优化和排名。提议FDEA考虑定性指标中存在的不确定性,因为在实际情况下无法准确地评估评估人力资源的标准。此外,层次分析法还用于确定不同人力资源指标的权重和优先级。通过常规数学模型对结果进行了验证和验证。所提出的方法还可以用于大型工业银行的最佳人力资源运营。这是第一项提出综合FDEA-AHP方法的研究,该方法用于对人力资源指标不明确的工业银行进行排名和优化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号