Yang Li, Zeye Sun, Jingqing Hu

【Abstract】

In this paper, we propose a comprehensive novel neural network model incorporating expert system and fuzzy system to deal with the problem of interpretation and information loss in the evaluation study. The proposed model involves the expert system to provide reasonable interpretations for the evaluation result and fuzzy system to reduce the loss of information in the evaluation result. This paper discusses the definition and principle of the proposed model and validates its improvement by numerical simulation. An applied study of the atmospheric environmental capacity is analyzed as an illustration to measure the interaction between socioeconomic development and atmospheric environment.

【Keywords】

comprehensive evaluation, neural network, expert system, fuzzy system