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Research on decision support for six sigma project selection based on fuzzy evaluation

机译:基于模糊评价的六西格玛项目选择决策支持研究

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摘要

To deal with subjective artificial and uncertain factor problem of Six Sigma projects selection, fuzzy synthetic evaluation method on project selection referring to the characteristics of Six Sigma projects selection was presented. Firstly, in order to provide a better reference for decision-makers, a evaluation index set of Six Sigma project selection has been set down; Secondly, Taking the five grades of index set as a standard, the experts scoring method is used to confirm the membership of appraisement index for every grade, which can help us to establish a membership matrix; Thirdly, the relatively important degree of level 1 index and level 2 index in the evaluation index set is obtained and the weight set of evaluation index of all level is founded; Fourthly, the fuzzy synthetic evaluation matrix of first level and second level of spare projects are established by using the membership matrix and the weigh set of index; Lastly, The projects are arranged by the first level fuzzy evaluation matrix, in order to determine the project which should be firstly implemented by enterprise. The fuzzy evaluation method reduces subjective and artificial as well as the indeterminate factors' impact in selection of project, greatly improves the accuracy for enterprise selecting project, which makes the enterprise obtain the greatest success and benefit through the implement of the most appropriate project.
机译:针对六西格玛项目选择的主观人为和不确定因素问题,提出了针对六西格玛项目选择的特征的模糊综合评价方法。首先,为了给决策者提供更好的参考,已经确定了六个西格玛项目选择的评估指标集;其次,以指标集的五个等级为标准,采用专家评分法确定各等级评价指标的隶属度,有助于建立隶属度矩阵。第三,获得评价指标集中一级指标和二级指标相对重要的程度,建立各级评价指标的权重集。第四,利用隶属度矩阵和指标权重集,建立了备用项目第一,第二级模糊综合评价矩阵。最后,由一级模糊评价矩阵对项目进行排序,以确定应由企业首先实施的项目。模糊评价方法减少了项目选择中主观和人为以及不确定因素的影响,大大提高了企业选择项目的准确性,使企业通过实施最合适的项目获得最大的成功和最大的利益。

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