Modeling Warning and Control of Ventures by Chaos Theory for Innovative Projects

摘要

The venture yield of innovative projects is an integrated result of the internal investment growth rate of R&D capacities, management capacities, and external demand growth rate. In this situation, dynamic chaos characteristics are shown in it movement obviously. The chaos warning and control model revaluates the ventures of innovative projects according to venture yield rather than traditional venture coefficient. Compared with the prevalent methods currently, the chaos model in this paper overcomes their disadvantages that show only the static venture coefficient but not express how to regulate and control ventures dynamically. The numerical example indicates that the effect on the venture yield from every chaos control factor is different in various situations. Thus, to gain the wanted venture yield, it is necessary for enterprises to select appropriate degree of management to different situation, while stronger is not always mean better.