基于语言偏好序的多属性群决策方法及其在废旧物资循环利用中的应用

Multi-attribute group decision-making method based on linguistic preference ordering and its application in waste material recycling

循环经济作为应对资源短缺威胁和绿色低碳转型需求的新型经济发展模式,正受到越来越广泛的关注.为了推动这一计划的实践进程,众多举措被提出并付诸行动,废旧物资循环利用体系建设是其中之一.考虑到与此类问题相关的决策过程中通常涉及多方面的制约因素且需要平衡各方意见,提出一种基于语言偏好序和拓展TOPSIS的多属性群决策方法.首先,利用数据挖掘和自然语言处理等技术,对相关新闻网站进行爬虫并获得大量的公共数据,再通过关键词提取和聚类确定决策属性及其权重;然后,采用基于多准则相互评估矩阵的专家互评方式,对参与决策的专家完成赋权;接着,运用语言偏好序、拓展的TOPSIS方法以及最小-最大优化模型依次实现决策信息表征、个体排序和集体排序的完整决策过程;最后,为了验证所提出方法的适用性,将其应用于废旧物资回收站点设置方案选择的实例,并进一步通过比较分析对其优势和特点展开具体说明.

As a new economic development model to cope with the threat of resource shortage and the demand for green and low-carbon transformation,circular economy is receiving more and more attention.In order to promote the practical process of this plan,many measures have been proposed and put into action,and the construction of a waste material recycling system is one of them.Considering that the decision-making process related to such problems usually involves many constraints and needs to balance the opinions of all parties,this paper proposes a multi-attribute group decisionmaking method based on linguistic preference ordering and extended TOPSIS technique.Firstly,this study uses data mining and natural language processing technologies to crawl relevant news websites and obtain a large amount of public data,then determines the attributes and their weights through keyword extraction and clustering.Secondly,the multicriteria mutual evaluation matrices are proposed and used for determining the weights of experts involved.Thirdly,this study employs the linguistic preference ordering method,an extended TOPSIS method and a min-max optimization model to successively achieve the complete decision-making process of decision information representation,individual ranking and collective ranking.Finally,this paper applies the proposed method to the example of setting schemes selection of waste material recycling site in order to verify its effectiveness and applicability,and further elaborates its advantages and characteristics through comparative analysis.