物理化学学报ActaPhys.-Chim.Sin.2023,39(3),2210029(1of5)Received:October21,2022;Accepted:October24,2022;Publishedonline:October27,2022.*Correspondingauthor.Email:fuxf@nsfc.gov.cn©EditorialofficeofActaPhysico-ChimicaSinica[Editorial]doi:10.3866/PKU.WHXB202210029www.whxb.pku.edu.cnOnInformationFusionbyFuzzySetsforDecisionMakinginPeerReviewLuWang1,2,GenziLi3,YafeiDai1,XuefengFu1,*1NationalNaturalScienceFoundationofChina,Beijing100085,China.2InstituteofFunctionalNano&SoftMaterials(FUNSOM),SoochowUniversity,Suzhou215123,JiangsuProvince,China.3YanqiLakeInstituteofBasicManufacturingTechnology(Beijing)Co.,Ltd.,Beijing101407,China.Abstract:Peerreviewplaysacrucialroleinqualityinsuranceofprojects,especiallyfornaturalscienceprojects,inevaluationorassessmentactivities.However,theresultsofassessmentbyreviewersforaproposalmayscatterduetotheintrinsicfuzzyattributesinthepeerreviewprocess.Specifically,itmayintroduceareviewbiaswithrazor-thinmarginsintheconversionofdescriptiveopinionsintoquantifiedscores.Theaccumulationofthebiasmightcauseoverturningintheresultsofevaluation,leadingproposalstowardatwilightzonebetweenapprovalandrejection.Here,anovelapproachtohandlingscoresinevaluationispresentedtoaddresstheambiguityofbrinkinatightcompetition,wherebycorrelationinformationfrommultiplesourcescouldbemergedtoimprovethedegreeofconsensusamongreviewersforeachproposalaccordingtoitsessentialvalue.Thismethodmayprovideanalternateevaluationmechanismforproposalreviewsandhelptacklethechallengesindecisionintelligence.KeyWords:Peerreview;Fuzzysets;Consensus基于模糊集合的评审决策信息融合王璐1,2，李根梓3，戴亚飞1，付雪峰1,*1国家自然科学基金委员会,北京1000852苏州大学功能纳米与软物质研究院,江苏苏州2151233雁栖湖基础制造技术研究院(北京)有限公司，北京101407摘要：同行评议是评价、评审和评估等活动的重要实施方式，尤其对于科学基金项目的评审，同行评议是保证项目质量的有效措施。同行评议过程中固有的模糊属性，会导致评审结果在一定程度上偏离被评价对象的内在价值。本文针对同行评议的模糊属性，提出一种评审决策信息融合的方法...
