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云会计环境下用户提出的AIS可信需求既要受到可信需求自相关关系、可信需求满足率的影响,又要受到交付时间、目标成本和行业平均可信水平等条件的约束,因此云会计供应商需要对AIS可信需求进行优化,以最大限度地满足用户的可信度要求.提出了一种云会计环境下基于可信度的AIS可信需求优化模型;该模型对各个可信需求进行灰色关联分析,识别出各个可信需求的重要度,在此基础上结合隶属度函数建立了AIS可信度目标函数,在分析可信需求配置率、企业的目标成本和交付时间等约束条件的基础上建立了AIS可信需求优化模型.通过算例分析说明了所建模型的合理性和有效性.
In the cloud accounting environment, users’ trustworthy demand for AIS is affected not only by the autocorrelation of trusted demand and the trustworthiness demand satisfaction rate, but also by the conditions such as delivery time, target cost and industry average trustworthiness level. Therefore, Accounting providers need to optimize the trustworthiness requirements of AIS to meet the user’s credibility requirements to the maximum extent.A trustworthiness-based credible AIS trustworthy demand optimization model is proposed in cloud accounting environment. The gray relational analysis is carried out to identify the importance of each credible requirement. Based on this, the objective function of AIS reliability is established based on the membership function. After analyzing the requirements of trusted demand allocation, the target cost and delivery time of the enterprise, Based on the condition, the model of credible requirements for AIS is established and the rationality and validity of the proposed model are illustrated through a case study.