4 结论本文在分析加工工艺影响因素的基础上建立了多工艺规划方案评价体系

4 Conclusion <br>This article is based on analysis of the factors affecting the process of working on a multi-process plan evaluation system; and on this basis, fuzzy mathematics theory and hierarchical entropy method to deal with a combination of fuzzy information of each index to each utilization information indicator data, reduce subjectivity and blindness assessment. Examples of the decision-making process in Scheme factory production combined with the adapter bracket part application analysis to verify the practicability and feasibility of this method is also applicable to other fuzzy comprehensive evaluation and analysis of the problem.

4 Conclusions<br>Based on the analysis of the factors influencing the processing process, this paper establishes the evaluation system of multi-process planning program, and uses this as a benchmark to introduce fuzzy mathematical theory and hierarchical entropy combination method to deal with the fuzzy information of each evaluation index, so as to make comprehensive use of the information of the index data, and effectively reduce the subjectivity and blindness of evaluation. The application analysis is carried out with the decision example of the route scheme of the transfer frame parts produced by a factory, and the practicality and feasibility of the method are verified, and the comprehensive evaluation and analysis of other fuzzy problems is also applied.

4 Conclusion<br>In this paper, based on the analysis of the influencing factors of the processing technology, the evaluation system of the multi process planning scheme is established. On this basis, the fuzzy mathematics theory and the level entropy weight combination method are introduced to deal with the fuzzy information of each evaluation index, so as to comprehensively utilize the information of each index data and effectively reduce the subjectivity and blindness of the evaluation. The application of the method to the decision-making of the process plan of the transfer frame parts produced by a factory is analyzed. The practicability and feasibility of the method are verified, and it is also suitable for the comprehensive evaluation and analysis of other fuzzy problems.