Information　Flow　Analysis　and　Feedforward　Neural　Network　Methodin　R＆D　Project－Selection

作     者：HAN Wenxiu DING Ronggui Institute of Systems Engineering, Tianjin University, Tianjin 300072,China 

出 版 物：《Systems Science and Systems Engineering》 (系统科学与系统工程学报（英文版）)

年 卷 期：1994年第4卷第3期

页      面：218-226页

核心收录：

学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 08[工学] 0811[工学-控制科学与工程] 081103[工学-系统工程] 

主　　题：R&D project-selection MCDM knowledge Artificial Intelligence network 

摘      要：R&D project-selection plays a very important role in R&D *** or not a R&D project is selected scientifieally will spell its success or *** 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 *** 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.