Fuzzy regression model of R&D project evaluation

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• 作者：Shinji Imoto ; Yoshiyuki Yabuuchi ; Junzo Watada
• 关键词：Management of technology and engineering ; R& ; D ; Project management ; AHP ; Fuzzy regression model
• 刊名：Applied Soft Computing Journal
• 出版年：2008
• 出版时间：June 2008
• 年：2008
• 卷：8
• 期：3
• 页码：1266-1273
• 全文大小：384 K

文摘

Engineering and technology play an important role in strengthening the competitive power of a company and in surviving a severe competition in the world. About 70 % of the total R&D investment in Japan comes from the private sector. It is the most important to decide which research projects have to be adopted for a future research out of proposals from divisions and sections in a company. The objective of this paper is to analyze the results of experts’ evaluation in selecting submitted proposals for R&D and to model the experts’ evaluation. This paper analyzes a research and development of a certain manufacturing company in a heavy metallurgy industry.