A Study on Information System Cost Estimation
Qilin Wang · Zhongguo guanli kexue · 2001
Information system cost estimation is the base of tender. This article introduces the common flow and several cost estimation methods, analyses the difficulties in today. Facing the large uncertainty, fuzzy mechanism and artificial intellegence must be introduced into cost estimation. This paper brings an estimating model which integrating Genetic Algorithm and Neural Network. The experiment shows that this model has high estimation precision.