Title :
The grey B-S model of R&D project evaluation
Author :
Luo, Dang ; Xu, Lijun
Author_Institution :
Coll. of Math. & Inf. Sci., North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
Abstract :
As the traditional NPV method can´t effectively evaluate R&D project, this paper mainly discussed the applicable methods for R&D project evaluation, integrated use of grey system theory and real option approach to evaluate new product R&D project, proposed the description of expected cash flow with interval grey number to be more practical, then weighted assessment intervals of expected cash flow given by experts with similarity degree of interval grey number, and established the grey B-S model of R&D project evaluation based on interval grey number. An example illustrates the validity of the model, which provides a new way for R&D investment decision-making and shows the advantages of real option approach compared with NPV method.
Keywords :
PERT; decision making; financial management; grey systems; research and development; decision making; grey B-S model; grey system theory; interval grey number; real option; research and development project evaluation; similarity degree; Investments; Modems; R&D project; grey B-S model; interval grey number; real option; similarity degree;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641153