Satisfaction analysis of public services using Evidential Network model

Public services are one of the basic functions of governments. How to improve the quality of public services under the limited budget has attracted significant attention. Most studies have tried to analysis the satisfaction of public services from statistical description or subjective decomposition. In this study, the evidential network model is employed to describe the relationship between the public services to analysis the satisfaction of them systematically. The advantage of the Evidential Network model is that the relationship between the public services can be represented using directed acyclic graph, and the subjective uncertainty in the relationship can be reflected by the D-S evidence theory. This study uses the Evidential Network structure learning approach to mine the relationship between public services from the questionnaire data, and analyzes the satisfaction of public services on this basis. A case study of the China General Social Survey (2015) is presented to demonstrate the methodology proposed in this study.