硬质合金R&D项目既面临项目收益的不确定性,又面临着技术的不确定性。如何在不确定下优化企业资源配置,以达到企业收益的最大化也是许多R&D项目资金分配中的难题。在Ku研究的基础上,引入了R&D项目成功概率的逻辑增长函数,建立了R&D项目资金配置模糊随机期望值模型,并给出了模糊随机模拟技术和遗传算法的模型求解。
Different with ordinary projects, Cemented Carbide R&D project is uncertain both in the revenue and technology. Thus, it is a difficulty for enterprises to allocate resources to maximize the revenue. Integrating the logical growth function of success possibility with revenue uncertainty, this paper develops a fuzzy random expected value model to solve the difficulty of resource allocation among cemented carbide R&D project. A heredity algorithm for the fuzzy random exoected value model is designed.