GetPortalImpactFactorByIdResp(projectId=1, id=acdc2531, cover=https://img.medsci.cn/images/journal/cover/2021/Yxh_202109271315068010.jpg, fullname=FUZZY SETS AND SYSTEMS, abbr=FUZZY SET SYST, pyear=暂无数据, frequence=Semimonthly, articleNumbers=4900, citedSelf2015=14.2, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=暂无数据, reviewFee=null, pageFee=null, publishedRatio=2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%), issn=0165-0114, greenSci=https://www.greensci.net/search?kw=0165-0114, scijournal=https://www.scijournal.org/impact-factor-of-FUZZY-SET-SYST.shtml, medsciHotlightString=null, medsciHotlightRealtime=2.635, medsciHotlight=3.294, medsciHotlight5year=2.92536, citescore=6.5, hIndex=169, impactFactor=3.9, orgnization=Elsevier, orgnizationUrl=http://www.elsevier.com, country=Netherlands, countryCn=荷兰, isOa=0, isOaString=否, sciScie=Science Citation Index|Science Citation Index Expanded|Current Contents - Engineering, Computing &amp; Technology, bigclassCas=数学 1区[Top], smallclassCas=数学 1 区, website=https://www.elsevier.com/wps/find/journaldescription.cws_home/505545/description, websiteHits=3683, guideForAuthor=null, guideForAuthorHits=1, submitWebsite=https://nl.sitestat.com/elsevier/elsevier-com/s?EES&ns_type=clickout&ns_url=https://www.editorialmanager.com/fss/|https://nl.sitestat.com/elsevier/elsevier-com/s?EES&ns_type=clickout&ns_url=https://www.editorialmanager.com/fss/, submitWebsiteHits=2837, content=Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics. Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In the field of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis, and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences. The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computer, totalCites=19112, brief=FUZZY SET SYST杂志数学行业，“<strong><a target="_blank" href="/sci/index.do?smallclass=统计学与概率论" >统计学与概率论</a></strong>”子行业的优秀级杂志, articleType=该刊全部是论著，可能不接收综述类等文章, medsciHeat=黑红, medsciComment=FUZZY SET SYST在该细分领域可能是一流杂志，可能是创刊时间短或不是热门学科，整体来说，国内学者关注度仍然不够。对于投稿而言，建议多向"&abbr&"投稿，当然期刊也应该加强品牌宣传。, medsciExplanation=MedSci期刊指数是根据中国科研工作者（含医学临床，基础，生物，化学等学科）对SCI杂志的认知度，熟悉程度，以及投稿的量等众多指标综合评定而成。当然，具体的，您还可以结合“<a href='//m.capotfarm.com/sci/submit.do?id=acdc2531'>投稿经验系统</a>”，进行综合判断，这更是大家的实战经验，值得分享和参考。<br> 注意，上述MedSci期刊指数采用MedSci专利技术，由计算机系统自动计算，并给出建议，存在不准确的可能，仅供您投稿选择杂志时参考。, tags=null, citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2017, citescore=2.86), GetImpactFactorCiteScoreListResponse(year=2018, citescore=37.26), GetImpactFactorCiteScoreListResponse(year=2019, citescore=6.5), GetImpactFactorCiteScoreListResponse(year=2020, citescore=7.0), GetImpactFactorCiteScoreListResponse(year=2023, citescore=6.5)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=2.899), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=2.642), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=2.825), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=2.485), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=2.635)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Logic , rank=2/27), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Artificial Intelligence , rank=46/189)], totalJcrAreaList=[GetImpactFactorCiteScoreGradeResponse(smallClass=COMPUTER SCIENCE, THEORY & METHODS, rank=Q1), GetImpactFactorCiteScoreGradeResponse(smallClass=MATHEMATICS, APPLIED, rank=Q1), GetImpactFactorCiteScoreGradeResponse(smallClass=STATISTICS & PROBABILITY, rank=Q1)], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=0165-0114[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=FUZZY SETS AND SYSTEMS[ta], article_number=300, article_number_cn=102, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)