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模糊层次分析法在企业IT外包风险评估中的应用研究

Application of Fuzzy Analytic Hierarchy Process in Enterprise IT Outsourcing Risk Assessment

【作者】 刘波

【导师】 杨磊; 莫继红;

【作者基本信息】 湖南大学 , 计算机技术(专业学位), 2017, 硕士

【摘要】 进入20世纪后,随着信息技术的迅速发展,IT企业的项目外包服务也获得快速发展,分工协作思想在企业构建和运营中发挥着越来越重要的作用。在企业运营中,IT服务外包的引入可以有效降低企业运营成本,提升企业的核心竞争力。然而IT服务外包自身的复杂性也使整个外包过程充满诸多风险。因此,针对IT企业外包项目风险评估中存在的风险影响因素较多且关系复杂、评价结果存在较强模糊性且难以量化等问题,深入研究了层次分析法和模糊综合评价法在IT外包项目风险评估中的应用,并根据国内IT企业外包项目实际情况完成和实现了一个IT企业外包风险管理平台原型系统。首先,本文建立了IT外包项目风险识别体系,分析了层次分析法的基本原理,并针对传统层次分析法存在的没有考虑判断主体存在的模糊性、以及一致性检验可操作性差的问题,利用0.1~0.9标度法代替传统的1~9标度法,根据专家判断得到模糊互补矩阵,并通过一定的数学手段将其转化为模糊一致矩阵,最终得到各种风险因素的权重值。接着定义风险等级,计算各种风险因素关于各种风险等级的隶属度值,根据模糊综合评价法基本思想得到IT外包项目关于各种风险等级的综合隶属度值,并转化为更加直观的评价结果。对风险评估模型进行验证,结果表明本模型评价结果能够客观对IT外包风险进行评价,且改进层次分析法能够提高评价效率,具有较好的可操作性。其次,本文分析了IT外包项目风险管理平台的功能需求,利用UML技术对系统功能进行建模,然后分析了系统的体系架构,对系统关键功能流程进行设计,根据E-R模型得到数据库表结构设计,在系统实现工作中,利用SSH-Struts+Spring+Hibernate框架实现了系统功能,展示了系统关键功能的界面实现效果,对改进层次分析法和模糊综合评价法进行了实现。开发出的企业IT外包项目风险管理平台符合规定需求,界面实现完整,功能正常,并提高了评价工作的准确性与高效性。

【Abstract】 Since the arrival of 21 st century when information technology develops rapidly,the outsourcing service of projects i n IT enterprises has gained a highly fast evolution,in which the conception of coordination and distribution plays an increasingly important role in the construction and operation of an enterprise.The import of outsourcing IT service in enterprises ’ operation can lessen the costs for them efficiently,and thereby improving their core competitiveness.However,the complexity in the outsourcing IT service also makes it a process full of multiple risks.Therefore,in view of the problems about the risk asses sment of IT outsourcing projects which exists many risk factors that are complex,and the evaluation results are weak and difficult to quantify,then the problems of AHP and fuzzy comprehensive evaluation are discussed.Evaluation of the application,and i n accordance with the actual situation of domestic IT outsourcing projects to complete and achieve an IT enterprise outsourcing risk management platform prototype system.Firstly,the thesis established the risk-identifying system of outsourcing IT projects,analyzed the basic principles of hierarchical analysis,and eventually achieved the fuzzy complementary matrix aiming at the traditional analysis ’s problem due to the inconsideration of main body’s fuzziness and poor operability in testing consistency,which was done by replacing the 1~9 scaling method with 0.1~0.9 scaling method.The fuzzy complementary matrix was transferred into the fuzzy consistent matrix through certain mathematical measures,by which the weights in varieties of risks were worked out.The next step is to define risk grade,calculate each risk factor’s membership value related to its risk grade,gain the outsourcing IT project’s comprehensive membership value related to the risk grade according to the basic idea of fuzzy comprehensive evaluation,transform the value into the more straightforward result,and eventually test the risk-assessment model.The results show that the evaluation results of this model can objectively evaluate the risk of IT outsourcing,the improved analytic hierarchy process can enhance the evaluation efficiency and reach a good operability.Secondly,the thesis analyzed the functional requirements of the risk-management platform for outsourcing IT projects in the first place,established the model of system’s functions by UML,then analyzed systematic framework in the system,designed the procedures of key functions in the system,achieved the design of the database form according to E-R model,realized the system’s function with SSH-Struts+Spring+Hibernate framework during the practical operation of the system,demonstrated the practical interface effects of system ’s key functions,and thereby practicing the hierarchical analysis and fuzzy comprehensive evaluation.The developed risk-management platform for IT enterprises’ outsourcing projects conforms to the specified requirements with complete interface implementation and ordinary performance,and thereby improving the accuracy and efficiency in assessment.

  • 【网络出版投稿人】 湖南大学
  • 【网络出版年期】2018年 07期
  • 【分类号】F49;O159
  • 【被引频次】4
  • 【下载频次】342
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