A Cloud TOPSIS Method for Multiple Criteria Decision Making with Interval Number

Abstract

Abstract-In order to ensure the accuracy of decision-making, need to be integrated the inevitable uncertainty information and fuzzy information into their decision-making process. In view of this, this paper proposed a Cloud TOPSIS method with the decision matrix contained the uncertainty and fuzziness information on the basis of the cloud drops and cloud drops distribution. In order to mine the data deeply, it converted the interval number model to the cloud model by establishing correspondence between the cloud drops and the endpoints. Next, the novel and key technique of the Cloud TOPSIS method including normalized the cloud decision matrix, compared the size of two cloud variables and calculated the distance measure. Finally, a numerical example is given, and the result was compared with the interval TOPSIS method result, demonstrating the feasibility and effectiveness of the proposed Cloud TOPSIS method.