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Information Flow Analysis and Feedforward Neural Network Methodin R&D Project-Selection
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作者 HAN Wenxiu DING Ronggui Institute of Systems Engineering, Tianjin University, Tianjin 300072,China 《Systems Science and Systems Engineering》 CSCD 1994年第3期218-226,共9页
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
关键词 R&D project-selection MCDM KNOWLEDGE Artificial Intelligence NETWORK
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