基于模糊层次分析与证据推理的计算机平台评估  

Evaluation of Computer Training Platform Based on FAHP and ER

作　　者：付建民[1] 刘因[2] 宋蓓蓓[1] 

机构地区：[1]安徽工业经济职业技术学院计算机科学技术系,安徽合肥230051 [2]合肥工业大学资源与环境工程学院,安徽合肥230009

出　　处：《四川文理学院学报》2013年第2期61-67,共7页Sichuan University of Arts and Science Journal

基　　金：中石化海相前瞻性项目(YPH08112);安徽省教育厅高校自然科学研究项目"云计算在地质矿产勘查中的应用"(KJ2011B22);安徽省教育厅高校教学质量与教学改革工程项目(20110146)

摘　　要：计算机平台的选择直接影响高等院校的职业化教育发展.将证据推理方法中指标的权重推广到三角模糊数,从定量与定性相结合的角度建立了一个多属性评价模型,证明了云平台优于传统平台和虚拟化平台.首先介绍了传统平台、虚拟化平台和云平台的概念;其次考虑决策过程的模糊性和不确定性,建立了基于FAHP和ER的计算机平台评估模型;最后应用该模型对上述三种平台的综合绩效进行了评估,验证了该模型和云平台的有效性、先进性.The choices of computing platform affect the development of college occupation education directly. This paper extend- ed the index weight, which in the evidence reasoning method, to triangular fuzzy number. It built a Multiple Attribute evaluation model concerning both of quantitative and qualitative. What＇s more, it certified that cloud platform is better than traditional plat- form and virtual platform. Firstly, this paper introduced the concepts of cloud, traditional and virtual platforms. Secondly, it pointed out the computer platform evaluation model based on FAHP and ER, which considering the fuzziness and uncertainty in the decision - making process. At last, it uses the preceding model to estimate the synthesized performances of the three platforms and proved the effectiveness and advancement of this model and the cloud platform.

关 键 词：云平台 多属性决策 模糊层次分析法 证据推理 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]