• 其中包括多级模糊优选理论模型目标权重确定新颖内容。

    These include some new achievements such as multiobjective fuzzy optimum seeking theory and model for multilayer system, definition of objective weight etc.

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  • 第一第二层输出采用二级模糊模式识别模型计算第三输出采用多级模糊模式识别模型计算。

    The outputs of the first and second layers are both calculated by duel-pole fuzzy pattern recognition models, and that of the third is by multi-pole fuzzy pattern recognition model.

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  • 其次构建注册会计师职业判断绩效评价指标体系运用多级模糊综合评价模型其进行绩效评价

    Performance appraisal index system of CPA's professional judgment is then structured and the multistage fuzzy comprehensive appraisal model is used to appraise it.

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  • 三角模糊数来表示模糊概念,提出一种新的多层多级模糊模式识别模型,并运用模型对某企业竞争力进行模糊综合评判模式识别

    It puts forward a new model about multi-hierarchy and multi-pole fuzzy pattern recognition, meanwhile, using this model to comprehensively evaluate and recognize an enterprise competence.

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  • 运用值的方法确定各个指标的评价权重值,建立多级模糊综合评判模型

    And a multi-level fuzzy synthesis evaluation model is established by identifying the indexes'value and applying entropy weight method.

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  • 针对房地产开发风险,提出风险评价指标体系建立多级模糊综合评价数学模型

    To the risk in property development, risk evaluation index system is set up, and the fuzzy multi-hierarchical comprehensive evaluation model is introduced.

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  • 多级模糊综合评判模型采用层次分析法来确定权重

    In the multilevel fuzzy comprehensive evaluation model the weights of indexes are ascertained by the analytic hierarchy process.

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  • 通过影响产品质量因素故障点灵活定义运用多级模糊评判方法,构造出绣花产品质量控制综合评价模型

    Through agile definition of the block of product quality, using Fuzzy Multi-level method, this article builds a synthetic evaluation model to control the product quality of embroidery shirting.

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  • 网络考虑经济因素工程质量因素,建立换热网络多级综合模糊评价模型

    In heat exchanger networks, the fuzzy appraisal model of heat exchanger networks is set up considering quality and economic factors.

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  • 设计评价课堂教学质量指标体系建立课堂教学质量的多级模糊综合评价数学模型

    The index system is designed for evaluating classroom teaching quality, and the mathematical model of many grades fuzzy comprehensive Evaluation is build for evaluating classroom teaching quality.

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  • 基于模糊综合评判理论建立一级评判、多级评判的模型讨论了模糊评判的问题及其应用

    Based on fuzzy comprehensive discrimination analysis, one level and multilevel discrimination models are founded and inversion problem and its applications are discussed.

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  • 为了解决我国大型企业供应商选择评价问题文章提出了一种基于层次分析法(ahp)的供应商评价指标体系多级模糊评判模型

    To solve the problem of supplier evaluation, this paper presents a supplier evaluating index system and fuzzy multi - objective evaluating model based on analytic hierarchy process.

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  • 对供应链环境下销售商风险进行分析基础上,利用风险因素分析和多级模糊综合评估相结合的方法进行风险评估,建立相应模型,进一步用风险系数量化销售商风险的大小。

    Based on the risk analysis of seller under the circumstances of SC, this paper USES risk factor analysis and multiple fuzzy comprehensive evaluation to evaluate risk and build a relevant model.

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  • 该文利用模糊数学理论方法,建立评价指标隶属函数和多级模糊综合评判数学模型

    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.

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  • 针对评价指标的模糊性,通过指标模糊评价,给出了多级模糊综合评价模型

    The multi-level fuzz comprehensive evaluation model is established by the evaluation for single factor.

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  • 针对模糊综合评判法高层建筑火灾风险评价中的不足之处,提出了模糊权重概念建立了高层建筑火灾风险评价的多级模糊概率综合评判模型

    The concept of fuzzy weight is proposed in the model, which could avoid the limitation of its weight value in the classical theory of fuzzy comprehensive evaluation.

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  • 应用工程模糊理论建立了石坝实测性态多级模糊模式综合评价模型

    Moreover, the comprehensive assessment method for behavior of earth-rockfill dam was established in a multi-pole fuzzy pattern on the basis of applying the theory of engineering fuzzy sets.

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  • 研究多级模糊综合评价信用担保项目风险评价中的应用,建立了评价体系,对模糊指标隶属度的处理进行定量分析,确定了具体的评价模型

    This paper establishes an assessing model of the credit guarantee risk and the quantitative analysis of fuzzy index subjection according to the multi-level fuzzy comprehensive evaluation meth...

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  • 多级模糊模式识别模型的基础上 ,提出了一种改进多级模糊模式识别方法

    This paper extracts visible features, and uses multi -features fuzzy pattern recognition to create subjection function in order to judge the relationship by statistic data.

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  • 多级模糊模式识别模型的基础上 ,提出了一种改进多级模糊模式识别方法

    This paper extracts visible features, and uses multi -features fuzzy pattern recognition to create subjection function in order to judge the relationship by statistic data.

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