基于監(jiān)理視角的信息系統(tǒng)項(xiàng)目評標(biāo)決策模型研究.pdf

1、三峽大學(xué)碩士學(xué)位論文基于監(jiān)理視角的信息系統(tǒng)項(xiàng)目評標(biāo)決策模型研究姓名：張麗申請學(xué)位級別：碩士專業(yè)：管理科學(xué)與工程指導(dǎo)教師：黃正偉20090301III Abstract Recently, there are two problems in constructing information engineering, that is quality and efficiency. The quality of the informatio

2、n engineering can not cater to customers’ rquest. It exceeds the planned time and budget. Therefore, there must be evaluation and supervision mechanism in the process of information engineering construction and the th

3、ird party supervision system to avoid risks. Introduce bidding mechanism to IT projects at the initial stage of construction project, choose appropriate contractors with the help of supervision in information engineeri

4、ng construction, ensure the interests of developers and contractors from the third party perspective and try to control project risk from the source. IT project bidding appraisal has many characteristics: large amount

5、 of money, many indices, balance of power of bidders, large-scale information correlation, obvious dynamic property of information, indices difficult to quantitative and so on. It is highly unstructured. Decision makers

6、’ experiences, professional knowledge and individual preference play an important role, and decision process is too complex to solve problems with single methods. Traditional algorithms have entered into qualitative anal

7、ysis stage mainly and lack the application of quantitative analysis and evaluation model in actual bidding, causing much subjectivity and casualness in available method of bidding and evaluation. Aim at these problems, t

8、his paper introduces information engineering supervision mechanism firstly, uses fuzzy comprehensive evaluation in IT project bidding appraisal at the early stage, analyze the connotation and characteristics of current I

9、T project bidding appraisal and screens unqualified bidders by knowledge representation and data analysis. Then it put forwards hierarchy integrated evaluation model based on fuzzy synthetical evaluation theory to calcul