Modeling for Investment Guidance as a Performance Pre-assessment Method of Enterprise Integration

Current enterprise performance research focuses on the post-assessment and is always lack of approaches about the necessary pre-assessment. In this paper a modeling method for investment guidance of enterprise integration is proposed, which is a significant pre-assessment method. Because of the numerous dynamic and subjective indicators of performance, modeling method presented in this paper is mainly based on the fuzzy rule for its natural advantages in this area. Firstly, considering the research requirements discussed in the literature review, the performance modeling framework for investment guidance is put forward grounded on the process model. Secondly, the original motivation to employ the fuzzy logic method is discussed and a theorem with logical criteria is suggested for conflict and redundancy validation of fuzzy rules which is necessary for performance modeling. Finally, the model for investment guidance is constructed and then a non-linear programming model is formulated to optimize the investment of enterprise integration.