The Fuzzy Neural Network Model of Evaluating Regional Sustainable Development Level

摘要：

This paper is concerned with an evaluation model of regional sustainable development level using fuzzy neural network with multi-criteria learning algorithm. The evaluation criterions of regional sustainable development is taken as a fuzzy set, an output vector of multi-output neural network for an actual region is regarded as degree of membership of e-valuation sample to the fuzzy set, then take the degree of membership as weight value to grade the evaluation sample synthetically to evaluate regional sustainable development level. The model is used in evaluation of a certain regions sustainable development level.

关键词： Regional Sustainable Development Comprehensive Evaluation Fuzzy Neural Network Multi- criterion Learning

作者: Xiong Deguo Liu Baoxian Xian Xuefu

作者单位: School of energy science and engineering, Henan Polytechnic University, JiaoZuo P.R.China, 454000;Ke school of Architecture and civil engineering, Xihua University,Chengdu P.R.China, 610039;Key Laborat Key Laboratory for the Exploitation of Southwestern Resources & the EnvironmentalDisaster Control En

会议类型: 国际会议

会议名称: 第十四届工业工程与工程管理国际会议(The Proceedings of The 14th International Conference on Industrial Engineering and Engineering Management IE&EM2007)

会议地点: 天津

会议语种:英文

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）