This paper has introduced evaluation model of comprehensive assessment, grade of membership, fuzzy evaluation matrix R and weighting vectors W.
介绍了模糊综合评判优选模型的建立、隶属度的确定、模糊评判矩阵R和权重向量W的确定。
That method builds up comprehensive evaluation model of many index signs; the adoption grade of membership functions to carry out a description towards evaluating index sign.
该方法建立多指标综合评价模型，采用隶属度函数对评价指标进行了描述。
In the paper, the membership of every target and the mathematical model of multi-grade fuzzy comprehensive appraisement are set up by using the fuzzy theory and means.
该文利用模糊数学的理论和方法，建立了各评价指标的隶属函数和多级模糊综合评判的数学模型。
Aiming at the partial invalidity problem which exists in fuzzy comprehensive evaluations, this paper proposes a new relative membership grade weighted mean method.
针对模糊综合评判方法存在部分失效的问题，提出一种相对隶属度加权平均法。
Aiming at the partial invalidity problem which exists in fuzzy comprehensive evaluations, this paper proposes a new relative membership grade weighted mean method.
针对模糊综合评判方法存在部分失效的问题，提出一种相对隶属度加权平均法。
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