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Enterprise Resource Planning system(ERP) provide a comprehensive integrated solution for enterpriseinformative construction , the practical worker used to think that kind of comprehensive integrated solution already was the optimizes method of the enterprise flow. Therefore, until so far there is no one studying that issue from the perspective of optimized model. For mechanical manufacturing industry ( MMI ) characteristics and being combined with practical issues of an enterprise, the paper has proposed the optimized process flow model based on fuzzy nearness from the perspective of optimization for the first time. Performing simulation and optimization to the flow of enterprise's ERP system which uses that model can significantly optimize the logistics relations between different departments of enterprise, increase profitability and also provides methods to decisionmaking and optimization for flow of logistics, meanwhile, it lay the foundation for deep research and design of ERP system.

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Interval-valued fuzzy sets, both-branch fuzzy sets and-Fuzzy sets are three extended forms of ordinary fuzzy sets. Compared to traditional fuzzy sets, interval-valued fuzzy sets have a stronger ability to express uncertainty because they provide more choices for the descriptions of attributes. Using both-branch fuzzy sets has solved some problems in engineering decision and engineering control. For-Fuzzy sets, a new fuzzy system is constructed, with both-branch fuzzy sets as a special case. The resulting theorems improve the flexibility of uncertainty system models and expand the range of fuzzy system applications as well.