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 base...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.展开更多
This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision proce...This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision process of enterprise equipment bidding, more intelligent. The system discussed in this paper is an efficient method for the enterprises doing business electronically. We also present our opinion of the approaches to defining agents. We emphasize the importance of agent being able to provide explanation about its behavior for the user or other agents. Based on this opinion we design a new common architecture of most agents in MAEBSW.展开更多
基金Project supported by the National High-Tech Research and Development program of China (863 Program ) (No.2 0 0 2 AA2 Z42 5 1-2 10 0 41) Postdoctoral Scientific Foundation of Northeast Agricultural U niversity. (No. 2 40 0 0 9) and postdoctoral Scien
文摘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.
文摘This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision process of enterprise equipment bidding, more intelligent. The system discussed in this paper is an efficient method for the enterprises doing business electronically. We also present our opinion of the approaches to defining agents. We emphasize the importance of agent being able to provide explanation about its behavior for the user or other agents. Based on this opinion we design a new common architecture of most agents in MAEBSW.
