Design And Implementation Of Content-based Questionnaire System

Nowadays,most existing questionnaire projects are still based on the paper surveys.Paper surveys not only increase labor costs but also have low efficiency,in addition,the survey analysis also takes a lot of time.Obviously,the traditional paper survery doesn't make full use of advanced Internet communication technology.To address this issue and based on the needs of a research project of the School of Management,this thesis studies on the network integration application system and builds for the administrators,researchers and respondents,so that the school questionnaire research is completely based on the Internet.Based on the sample survey theory,this thesis analyzes both the sources and the types of data sources by making a statistical analysis of the data.According to the statistics results,the thesis discusses the object and method of data pre-processing of raw questionnaire data.According to decision tree classification theory of data mining and rough set theory.Moreover,this thesis designs and implements a custom questionnaire survey platform,which analyzes the whole process of the questionnaire survey,and establishes its functional model and behavior model.The function of each module and the design of database model illustrates in Chapter Four.The typical data structure of the system is also described in Chapter Four.This system is evaluated in Chapter Five.The evaluation results show that the system is stable and efficient,and can achieve the design requirements.The system that designed and implementated in this thesis will improve the survery efficiency and reduce labor costs while being able to meet the different research projects for integrated management of integrated applications.