Research Of IT Projects Bidding Evaluation Decision Support Model

The informationization of our society makes IT projects play a more and more important role in this progress of enterprises, governments etc. In order to make sure projects are completed in high quality, efficiency and at a suitable cost, many important IT projects are started with the help of project bidding. However, the bidding evaluation of such projects has the following characteristics: the great amount of money involved, lots of indicators contained, closer capability among bidders, complicated relationship of indicators, low transparence of bidding process, and so on. Due to these highly un-structural features, the process of bidding decision making is much more difficult. Therefore, applying modern bidding theories and algorithm models, such as Rough Set and Grey System theories, to IT projects bidding evaluation process, with the help of information technology in decision support system building, could be an effective method to solve such problems. It could also optimize the veracity and improve the efficiency of the evaluation process.First of all, the paper makes. a summary of the research achievements and practical applications of projects bidding evaluation theories, rough set, and Grey System theory. Then according to indicator system designing principles, the Delphi method is used to design and build evaluation indicator system. Current main project bidding evaluation methods and models are introduced here, and a complete evaluation working process is established.Secondly, a project bidding evaluation decision model based on the detailed introduced theories of rough set and grey clustering is described in detail, including reducing the indicator properties, distilling decision rules using Rosetta software, computing for the importance weights of indicators based on Rough Set and AHP theory, and applying them to the grey clustering model to evaluate the bidders comprehensively. The model simplifies the evaluation process and improves the objectiveness and science of bidding. Lastly, according to the intellectual decision support system theory, the paper does an example experiment of this bidding decision support model, with the reasoning mechanism of decision table operations using relation database, rule-based reasoning and comprehensive evaluation model, which fully takes advantages of rough set algorithm, grey system theory, decision support system framework and information technology. The model improves the exactness, impartiality and the decision making ability of clients.The paper's research on IT projects bidding evaluation modeling could not only expand to other kinds of project decision making, but also could be certain references for decision problems in other working or research fields.