行业应用与交流IndustrialApplicationsandCommunications《自动化技术与应用》2023年第42卷第6期TechniquesofAutomation&Applications基于模糊理论的众包系统多维信誉智能评估方法研究郝晓英（青海高等职业技术学院，青海海东810799）摘要:针对评估时延大、信誉误差度大和评估精准度低的问题。提出基于模糊理论的众包系统多维信誉智能评估方法，选取交易时间维度、交易金额维度、买家信誉维度、欺诈惩罚维度作为评估维度，在模糊理论的基础上用四元组描述评估维度，通过信息熵方法整合不同维度的评估数据，并利用PageRank算法计算评估影响力，融合评估影响力和反馈评估真值获得众包系统的综合信誉，完成基于模糊理论的众包系统多维信誉智能评估。实验结果表明方法的评估时延和信誉误差度较小，且评估精准度较高，具有较好的性能。关键词:模糊理论；众包系统；信息熵；信誉评估中图分类号：TP18文献标识码:A文章编号:1003-7241(2023)06-0146-04ResearchonIntelligentEvaluationMethodofMultidimensionalReputationofCrowdsourcedSystemBasedonFuzzyTheoryHAOXiao-ying(QinghaiHigherVocationalandTechnicalCollege,Haidong810799China)Abstract:Aimingattheproblemsoflargeevaluationdelay,largereputationerrorandlowevaluationaccuracy.Inordertosolvetheaboveproblems,amulti-dimensionalreputationintelligentevaluationmethodbasedonfuzzytheoryisproposed,whichselectsthetrans-actiontimedimension,transactionamountdimensionandbuyerreputationdimensionbasedonfuzzytheory,fourtuplesareusedtodescribetheevaluationdimension.Theevaluationdataofdifferentdimensionsareintegratedbyinformationentropymethod.ThePageRankalgorithmisusedtocalculatetheevaluationinfluence.Thecomprehensivereputationofcrowdsourcingsystemisobtainedbyintegratingtheevaluationinfluenceandfeedbackevaluationtruthvalue.Themulti-dimensionalreputationintelli-genceofcrowdsourcingsystembasedonfuzzytheoryiscompletedassessment.Experimentalresultsshowthattheevaluationde-layandreputationerroroftheproposedmethodaresmall,andtheevaluationaccuracyishigh,whichhasgoodperformance.Keywords:fuzzytheory;crowdsourcingsystem;informationentropy;reputationassessment收稿日期:2021-07-25DOI:10.20033/j.1003-7241.（2023）06-0146-04.1引言...
