| Information Flow Analysis and Feedforward Neural Network Methodin R＆D Project－Selection |
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| 引用本文： | HAN Wenxiu,DING Ronggui Institute of Systems Engineering,Tianjin University,Tianjin 300072,China. Information Flow Analysis and Feedforward Neural Network Methodin R＆D Project－Selection[J]. 系统科学与系统工程学报(英文版), 1994, 0(3) |
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| 作者姓名： | HAN Wenxiu DING Ronggui Institute of Systems Engineering Tianjin University Tianjin 300072 China |
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| 作者单位： | HAN Wenxiu;DING Ronggui Institute of Systems Engineering，Tianjin University，Tianjin 300072，China |
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| 摘 要： | ＩｎｆｏｒｍａｔｉｏｎＦｌｏｗＡｎａｌｙｓｉｓａｎｄＦｅｅｄｆｏｒｗａｒｄＮｅｕｒａｌＮｅｔｗｏｒｋＭｅｔｈｏｄｉｎＲ＆ＤＰｒｏｊｅｃｔ－ＳｅｌｅｃｔｉｏｎＨＡＮＷｅｎｘｉｕ；ＤＩＮＧＲｏｎｇｇｕｉＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＥｎｇｉｎｅｅｒ...
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Information Flow Analysis and Feedforward Neural Network Method in R&D Project-Selection |
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| HAN Wenxiu,DING Ronggui Institute of Systems Engineering,Tianjin University,Tianjin ,China. Information Flow Analysis and Feedforward Neural Network Method in R&D Project-Selection[J]. Journal of Systems Science and Systems Engineering, 1994, 0(3) |
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| Authors: | HAN Wenxiu DING Ronggui Institute of Systems Engineering Tianjin University Tianjin China |
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| Affiliation: | HAN Wenxiu,DING Ronggui Institute of Systems Engineering,Tianjin University,Tianjin 300072,China |
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| Abstract: | 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. |
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| Keywords: | R&D project-selection MCDM knowledge Artificial Intelligence network |
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