R&D project-selection plays a very important role in R&D management.Whetar or not a R&D project is selected scientifieally will spell its success or failure.Aa a decision making R&D project-selection i...R&D project-selection plays a very important role in R&D management.Whetar or not a R&D project is selected scientifieally will spell its success or failure.Aa a decision making R&D project-selection is characttrized by multiple procedues,multiple conflicting and noncommensurate objectives,and these characteristics make a numer of traditional approaches invalid or inefficient.In this paper,information flow and feedforward neural network method in R&D project-selection are pmentedi Through theoretical analysis,illustrative examples and computational simulation,we show that the proposed approach is preferable to the traditonal ones in many aspects.展开更多
In this paper, we first analyse the shortcomings of existing investment appraisal methodologs, and present the theory of cognitive influence diagrams, which is constructed by integrating cognitive maps and influence d...In this paper, we first analyse the shortcomings of existing investment appraisal methodologs, and present the theory of cognitive influence diagrams, which is constructed by integrating cognitive maps and influence diagrams. Simulation is used to solve the probabilistic inference by using the sample spare of each random variable involved in the analysis. A dynamic criterion is supposed based on the separable nature of value function. With this criterion. We combine influence diagrams with dynamic economic assessment. Thus the dynamic characteristics of investment proposal can be evaluated.展开更多
文摘R&D project-selection plays a very important role in R&D management.Whetar or not a R&D project is selected scientifieally will spell its success or failure.Aa a decision making R&D project-selection is characttrized by multiple procedues,multiple conflicting and noncommensurate objectives,and these characteristics make a numer of traditional approaches invalid or inefficient.In this paper,information flow and feedforward neural network method in R&D project-selection are pmentedi Through theoretical analysis,illustrative examples and computational simulation,we show that the proposed approach is preferable to the traditonal ones in many aspects.
文摘In this paper, we first analyse the shortcomings of existing investment appraisal methodologs, and present the theory of cognitive influence diagrams, which is constructed by integrating cognitive maps and influence diagrams. Simulation is used to solve the probabilistic inference by using the sample spare of each random variable involved in the analysis. A dynamic criterion is supposed based on the separable nature of value function. With this criterion. We combine influence diagrams with dynamic economic assessment. Thus the dynamic characteristics of investment proposal can be evaluated.