会议专题

Green Industry Evaluation Index System Based on Cluster Rough Set Analysis

  Building a reasonable green industry evaluation index system is the key to green industry evaluation.According to the connotation of green industry,the criterion of eliminating information duplication index and the criterion of screening the index with the largest quality coefficient of approximate classification,the evaluation index system of green industry by using the method of R clustering-roughness analysis is constructed in this paper.The main innovations and characteristics are as follows: Firstly,the evaluation indexes are clustered into criteria by the method of deviation squares to ensure that the response information of different indexes after screening is not duplicated.Secondly,rough set analysis is used to solve the approximate classification quality coefficients of similar indexes in R clustering,and one of the indexes with the smallest correlation degree is selected.Ensure that the selected indicators having the greatest impact on the green industry evaluation.Thirdly,through R clustering and rough set analysis,the index system of green industry evaluation is constructed,which includes 22 indexes including green production,green consumption and green environment.

green industry evaluation cluster rough set evaluation index system

Xinyue Yang

ShanDong Vocational College of Light Industry,Zibo,255300,China

国际会议

2018 International Conference on Mathematics,Modeling,Simulation and Statistics Application (MMSSA2018) (2018年数学、建模仿真与统计学应用国际学术会议)

上海

英文

143-147

2018-12-22(万方平台首次上网日期,不代表论文的发表时间)