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Using an Integrated Group Decision Method Based on SVM, TFN-RS-AHP, and TOPSIS-CD for Cloud Service Supplier Selection

机译:基于SVM,TFN-RS-AHP和TOPSIS-CD的集成群决策方法用于云服务供应商选择

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摘要

To solve the cloud service supplier selection problem under the background of cloud computing emergence, an integrated group decision method is proposed. The cloud service supplier selection index framework is built from two perspectives of technology and technology management. Support vector machine- (SVM-) based classification model is applied for the preliminary screening to reduce the number of candidate suppliers. A triangular fuzzy number-rough sets-analytic hierarchy process (TFN-RS-AHP) method is designed to calculate supplier's index value by expert's wisdom and experience. The index weight is determined by criteria importance through intercriteria correlation (CRITIC). The suppliers are evaluated by the improved TOPSIS replacing Euclidean distance with connection distance (TOPSIS-CD). An electric power enterprise's case is given to illustrate the correctness and feasibility of the proposed method.
机译:针对云计算出现的背景下的云服务供应商选择问题,提出了一种集成的群体决策方法。云服务供应商选择指数框架是从技术和技术管理两个角度构建的。基于支持向量机(SVM)的分类模型用于初步筛选,以减少候选供应商的数量。设计了一种三角模糊数-粗糙集-层次分析法(TFN-RS-AHP),以专家的智慧和经验来计算供应商的指标价值。指标权重是通过标准间重要性相关性(CRITIC)确定的。供应商将通过改进的TOPSIS评估,以连接距离(TOPSIS-CD)取代欧几里德距离。以电力企业为例,说明了该方法的正确性和可行性。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|3143502.1-3143502.14|共14页
  • 作者单位

    Beifang Univ Nationalities, Coll Mech Engn, Yinchuan 750021, Peoples R China;

    Zhengzhou Univ Light Ind, Coll Elect & Informat Engn, Zhengzhou 450002, Peoples R China;

    Beifang Univ Nationalities, Coll Mech Engn, Yinchuan 750021, Peoples R China;

    Beifang Univ Nationalities, Coll Mech Engn, Yinchuan 750021, Peoples R China;

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