基于模糊神经网络的大学生党员质量评价体系的构建

The Construction of Quality Evaluation System of College Student Party Members Based on Fuzzy Neural Network

目前大学生党员质量评价体系存在评价标准不一、评价指标权重设置主观性、随意性强等缺点。利用模糊神经网络建立大学生党员质量评价体系,可以在有效降低主观因素对评价结果影响的同时直接反映评价对象的不足,帮助其明确努力方向,对保证和提高大学生党员发展质量有一定的积极意义。

The Party members of college students are a group with high cultural and professional qualities.They are the main reserve force for the construction of socialism with Chinese characteristics,and their quality is closely related to the success or failure of national development.At present,there are some shortcomings in the quality evaluation system of college student party members,such as different evaluation standards,subjectivity and randomness in the wei ght setting of evaluation indexes.This paper uses the principles of neural net-work and fuzzy control to establish a college party member quality evaluation system.This evaluation system not only effectively reduces the influence of subjective factors on the evaluation results,but also allows the e-valuation objects to understand their own deficiencies intuitively,and help them to make clear the direction of their efforts.It has certain positive significance for ensuring and improving the quality of Party members in universities.