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首页> 外文期刊>Procedia Computer Science >Application of Fuzzy Logic in Job Satisfaction Performance Problem
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Application of Fuzzy Logic in Job Satisfaction Performance Problem

机译:模糊逻辑在工作满意度绩效问题中的应用

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摘要

Job satisfaction has been a popular topic of research for many decades. The interest in this topic has attracted psychologists, management scholars and, more recently, economists. Most of the studies conducted in the area of job satisfaction have been based on statistical methods. However these methods cannot account for the fact that basic facets of job satisfaction, such as Activity, Independence, Variety, Social status, and Supervision-human relations, to name but a few, are evaluated based on perceptions which do not provide precise numeric information. Information supported by perceptions can be processed more adequately by using fuzzy logic. In this paper we suggest fuzzy if-then rules based expert system to describe relations between job factors and overall job satisfaction.
机译:几十年来,工作满意度一直是研究的热门话题。对这个话题的兴趣吸引了心理学家,管理学者以及最近的经济学家。在工作满意度方面进行的大多数研究都是基于统计方法的。但是,这些方法不能说明以下事实:工作满意度的基本方面(例如活动,独立性,多样性,社会地位和监督人际关系)仅基于少数几个无法提供精确数字信息的感知进行评估。 。通过使用模糊逻辑,可以更充分地处理感知支持的信息。在本文中,我们建议基于模糊的if-then规则的专家系统来描述工作因素与总体工作满意度之间的关系。

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