using an integrated group decision method based on svm, tfn-rs-ahp, and topsis-cd for cloud service supplier selection

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ID: 184962
2017
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Abstract
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.
Reference Key
li2017mathematicalusing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Lian-hui Li;Jiu-cheng Hang;Yang Gao;Chun-yang Mu
Journal journal of power sources
Year 2017
DOI
10.1155/2017/3143502
URL
http://dx.doi.org/10.1155/2017/3143502
Keywords
civil engineering (general)mathematics engineering (general)

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