关键词: 系统工程, 铁路建筑企业, 投标决策, 粗糙集, 波士顿矩阵, 支持向量机

Abstract:

The projects that railway construction enterprise bid are usually in large scale, long duration, and technically challenging. Decision making process for project bidding is complicated and difficult. In this paper, profit and competitiveness upgrade are considered as two direct influencing factors in railway construction enterprise’s bidding decision making. Based on the principle of Boston matrix for project classification strategy, four perspectives are used to support bidding decision making in this paper: project description, environment impact, internal process and owner’s characteristic. Rough set model is employed to classify the project based on the four aspects. Support Vector Machine (SVM) is used to improve the rough set model. Case study results show that the SVM based rough set model has a better accuracy in classification. The proposed method would serve as a project selector for bidding. It would also make recommendations for railway construction enterprise.

Key words: systems engineering, railway construction enterprises, bidding decision, rough set, Boston matrix, Support Vector Machine