基于模糊聚类的绿色工艺评价样本分类方法

doi:10.12068/j.issn.1005-3026.2016.03.018

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (3): 387-391.DOI: 10.12068/j.issn.1005-3026.2016.03.018

基于模糊聚类的绿色工艺评价样本分类方法

王宇钢¹，修世超¹，王柯元²

(1. 东北大学机械工程与自动化学院，辽宁沈阳110819; 2. 大连理工大学电子信息与电气工程学部，辽宁大连 116024)

收稿日期:2015-01-07 修回日期:2015-01-07 出版日期:2016-03-15 发布日期:2016-03-07
通讯作者: 王宇钢
作者简介:王宇钢(1977-)，男，辽宁锦州人，东北大学博士研究生；修世超(1958-)，男，辽宁凌源人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金资助项目(51375083).

Sample Classification Method for Green Process Evaluation Based on Fuzzy Clustering

WANG Yu-gang¹， XIU Shi-chao¹， WANG Ke-yuan²

1.School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China; 2.Faculty of Electronic Information and Electrical Engineering， Dalian University of Technology， Dalian 116024， China.

Received:2015-01-07 Revised:2015-01-07 Online:2016-03-15 Published:2016-03-07
Contact: WANG Yu-gang
About author:-
Supported by:
-

摘要/Abstract

摘要： 针对绿色工艺评价样本具有不确定性、多维性以及量纲差异大的特点，为实现样本的合理分类，提出一种基于核的模糊可能性聚类新算法.该方法将核模糊聚类算法、可能性聚类算法和减法聚类算法相结合，以提高聚类的准确率；使用聚类有效性指标作为分类条件，自适应确定最佳分类数.仿真实验结果表明，该算法具有较好的有效性和鲁棒性，并将该算法运用在绿色工艺评价样本分类中，得到了较好的分类效果，验证了算法的实用性.

关键词: 核模糊聚类, 可能性聚类, 减法聚类, 有效性指标, 绿色工艺, 样本分类

Abstract: Due to the uncertainty， multidimensionality and significant difference of the evaluation samples of green process， a novel algorithm of kernel-based fuzzy possibilistic clustering was proposed in order to achieve reasonable sample classification. Kernel fuzzy clustering， possibilistic clustering and subtraction clustering were combined to improve the accuracy of clustering and cluster validity index was used as the classification condition to obtain the optimal classification number. The simulation results showed that this algorithm has good validity and robustness. When the algorithm is applied to classify the evaluation samples of green process， good classification effects are gained， which verifies its practicability.

Key words: kernel fuzzy clustering, possibilistic clustering, subtraction clustering, validity index, green process, sample classification

中图分类号:

TP391

王宇钢，修世超，王柯元. 基于模糊聚类的绿色工艺评价样本分类方法[J]. 东北大学学报:自然科学版, 2016, 37(3): 387-391.

WANG Yu-gang， XIU Shi-chao， WANG Ke-yuan. Sample Classification Method for Green Process Evaluation Based on Fuzzy Clustering[J]. Journal of Northeastern University Natural Science, 2016, 37(3): 387-391.

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基于模糊聚类的绿色工艺评价样本分类方法

Sample Classification Method for Green Process Evaluation Based on Fuzzy Clustering

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