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An evaluation method of science popularization level of new energy based on AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) is proposed in this paper. 6 first-level evaluation indexes including science popularization personnel, science popularization space, science popularization venues, science popularization media, science popularization activities and science popularization influence are selected to construct an evaluation index system for science popularization level which includes 22 second-level indexes. AHP is used to confirm the weight of each evaluation index, TOPSIS is applied for assessment and calculation, and the evaluation results are given in accordance with relative closeness. To verify effectiveness of this method, the operation data of 5 new energy science popularization bases are collected, and the sorting result of science popularization level of new energy is provided.

, authors=Tianlei Zang, Qingquan Qian, authorsList=Tianlei Zang, Qingquan Qian, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1289156716721971237, articleId=1289156716038299683, tenantId=1146029695717560320, journalId=1149652312894775300, language=CN, title=基于层次分析法与TOPSIS的新能源科普水平评估, columnId=1289156595011658448, journalTitle=科普研究, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=

本文提出了一种基于层次分析法与TOPSIS的新能源科普水平评估方法，选取了科普人员、科普场地、科普经费、科普媒体、科普活动和科普影响6个一级评估指标，构筑了包含22个二级指标的科普水平评估指标体系，采用层次分析法确定各评估指标的权重，并采用TOPSIS法进行评估计算，依据相对接近度的大小给出评估结果。为验证本文方法的有效性，采集了5家新能源科普基地的运行数据，给出了新能源科普水平的排序结果。

, authors=臧天磊, 钱清泉, authorsList=臧天磊, 钱清泉, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=v3FqU7rWkB0qhtFkHl0sUQ==, magXml=riAmNhWZMtWK6OCDXawZhA==, pdfUrl=null, pdf=2u5FKOXneJ2WPhbwUM7yyA==, pdfFileSize=1756657, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=v9BMtE2IMRivnqAFD79DPA==, mapNumber=null, fund=null)}, authors=[Author(id=1289156717032349738, tenantId=1146029695717560320, journalId=1149652312894775300, articleId=1289156716038299683, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zangtianlei@126.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1289156717128818732, tenantId=1146029695717560320, journalId=1149652312894775300, articleId=1289156716038299683, authorId=1289156717032349738, language=EN, stringName=Tianlei Zang, firstName=Tianlei, middleName=null, lastName=Zang, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1289156717191733293, tenantId=1146029695717560320, journalId=1149652312894775300, articleId=1289156716038299683, authorId=1289156717032349738, language=CN, stringName=臧天磊, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=西南交通大学电气工程学院，成都　610031, bio={"content":"

臧天磊，西南交通大学电气工程学院博士研究生，主要研究方向为智能信息处理在能源系统中的应用，Email：zangtianlei@126.com

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臧天磊，西南交通大学电气工程学院博士研究生，主要研究方向为智能信息处理在能源系统中的应用，Email：zangtianlei@126.com

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钱清泉，中国工程院院士，西南交通大学电气工程学院教授，主要研究方向为交通能源系统自动化与智能化，Email：qqq@swjtu.edu.cn。

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钱清泉，中国工程院院士，西南交通大学电气工程学院教授，主要研究方向为交通能源系统自动化与智能化，Email：qqq@swjtu.edu.cn。

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