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Owing to overcoming the characteristics that there are many economic and technical indexes which are fuzzy and incompatibility to each other in evaluating investment project,a new method is proposed.The method is based on the matter-element analysis and combined with the concepts of fuzzy mathematics,which is called the method of fuzzy matter-element analysis.It constructs the compound fuzzy matter element with the investment projects,evaluation factors and their fuzzy value.Through establishing the best subjection degree (fuzzy value),complex fuzzy matter element of relational coefficient and weight aggregation of fuzzy matter-element model,the writer achieves on optimum order of the investment projects according to the calculated relational degree and finds the best project.In this paper,the calculation of weight adopts the analytical hierarchy process method(AHP).Through the actual example,it shows that the model is simple and its calculation is reliable.It is very significant for the engineering evaluated bid and investment decision.
Owing to overcoming the characteristics that there are many economic and technical indexes which are fuzzy and incompatibility to each other in evaluating investment project, a new method is proposed. The method is based on the matter-element analysis and combined with the concepts of fuzzy mathematics , which is called the method of fuzzy matter-element analysis. It constructs the compound fuzzy matter element with the investment projects, evaluation factors and their fuzzy values. Based on establishing the best subjection degree (fuzzy value), complex fuzzy matter element of relational coefficient and weight aggregation of fuzzy matter-element model, the writer achieves on optimum order of the investment projects according to the calculated relational degree and finds the best project. In this paper, the calculation of weight adopts the analytical hierarchy process method (AHP). Through the actual example, it shows that the model is simple and its calculation is reliable. It is very significant for t he engineering evaluated bid and investment decision.