Comparison of AHP and fuzzy AHP methods for human resources in science technology (HRST) performance index selection

机译：科技人力资源绩效指标选择的层次分析法与模糊层次分析法比较

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The purpose of this article is to compare AHP and fuzzy AHP methods for human resources in science technology (HRST) performance index selection. Both the AHP and Fuzzy AHP are extremely useful when a decision-making process is complex, as they can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria, and generate an overall rank of alternatives.

机译：本文的目的是比较科学技术（HRST）性能指数选择中人力资源的AHP和模糊AHP方法。当决策过程复杂时，AHP和模糊AHP都非常有用，因为它们可以通过评估标准的相对重要性来优先考虑多项选择标准，并生成替代方案的整体等级。

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《IEEE International Conference on Industrial Engineering and Engineering Management》|2013年|792-796|共5页
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Chou Y.C.; Yen H.Y.; Sun C.C.; Hon J.S.;
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analytic hierarchy process; fuzzy set theory; human resource management; AHP method; HRST performance index selection; Human Resources in Science Technology performance index selection; decision-making process; fuzzy AHP methods; multiple-choice criteria; Analytic hierarchy process; Computational modeling; Equations; Fuzzy sets; Personnel; Pragmatics; AHP; Fuzzy theory; Human resources in science technology(HRST);

机译：层次分析法;模糊集理论;人力资源管理; AHP方法; HRST绩效指标选择;科学技术人力资源绩效指标选择;决策过程;模糊AHP方法;多项选择准则;层次分析法;计算模型;方程;模糊集;人员;语用学;层次分析法;模糊理论;科学技术中的人力资源;

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Comparison of AHP and fuzzy AHP methods for human resources in science technology (HRST) performance index selection

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