| With the increasingly diverse cloud service models provided by industrial cloud platforms,it has become a challenge for enterprise users to choose cloud services.The multi-criteria decision-making method solves this problem well and has been widely used.However,the limitation of a single decision-making method makes it impossible to effectively complete the task of cloud service selection in typical industrial cloud platforms.At the same time,platform users may not be able to clearly describe preference information due to lack of detailed understanding of typical industrial equipment cloud platforms.In addition,traditional fuzzy scales cannot flexibly describe user preferences with different degrees of ambiguity.These problems make it impossible for users to choose cloud services according to their needs,resulting in serious problems such as reduced enterprise efficiency and increased operating costs.Therefore,how to avoid the defects of a single decision-making method and use appropriate fuzzy scales to express user preferences,so as to provide more effective methods for users to choose cloud services,has become an important research content.In order to explore the method of cloud service selection on a typical industrial equipment cloud platform,this paper first proposes a hybrid decision-making model based on AHP-BWM method.The advantages and disadvantages of the AHP and the bestworst method are combined,and a fuzzy decision-making model based on triangular fuzzy numbers is proposed.The fuzzy preference information of users is described by triangular fuzzy numbers to improve the effectiveness and expansibility of the method.The main work of this paper is summarized as follows:(1)This paper analyzes the development trend of cloud service selection and multicriteria decision-making methods,elaborates the analytic hierarchy process and the bestworst method,and proposes the limitations of a single decision-making method for selecting cloud services on a typical industrial equipment cloud platform and the importance of fuzzy descriptions.(2)A decision-making model integrating AHP and the best-worst method is constructed,and the two methods are applied in different stages of the decision-making process,thereby improving the efficiency and persuasiveness of the decision-making process.(3)A decision-making model based on fuzzy analytic hierarchy process,fuzzy bestworst method and fuzzy comprehensive evaluation method is constructed,and triangular fuzzy numbers are used to describe preference information to improve the applicability of the method,and through experimental exploration,a more effective fuzzy scale is proposed for the fuzzy best-worst method.(4)The method proposed in this paper is tested on a typical industrial equipment health detection and monitoring cloud platform,and the effectiveness of the method proposed in this paper is verified.(5)Aiming at the application scenario of the typical industrial equipment cloud platform,combined with the software engineering development technology and system requirement design,the front-end and back-end separation development method is adopted to realize the cloud service selection prototype system based on the above two decision-making methods,and demonstrate its application in the typical industrial equipment cloud,and show its actual operation in a typical industrial equipment cloud platform. |
