{"id":"https://openalex.org/W4315777551","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008684","title":"Markov State Transition Modeling in Complex High-Dimensional State Space Based on Fuzzy Integral","display_name":"Markov State Transition Modeling in Complex High-Dimensional State Space Based on Fuzzy Integral","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315777551","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008684"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008684","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008684","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056854782","display_name":"Jinhan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhan Guo","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology","Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences","School of Information Science and Technology, ShanghaiTech University","University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210147322"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399824","display_name":"Kai Li","orcid":"https://orcid.org/0000-0001-8452-620X"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology","School of Information Science and Technology, ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028780369","display_name":"Hanhui Li","orcid":"https://orcid.org/0000-0002-9838-6532"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanhui Li","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology","University of Chinese Academy of Sciences","School of Information Science and Technology, ShanghaiTech University","Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043623106","display_name":"Wenxiang Liu","orcid":"https://orcid.org/0000-0001-9505-4770"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiang Liu","raw_affiliation_strings":["National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102831704","display_name":"Z. Zhuang","orcid":"https://orcid.org/0000-0002-3709-1175"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeming Zhuang","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology","University of Chinese Academy of Sciences","School of Information Science and Technology, ShanghaiTech University","Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041989556","display_name":"Yong Zhou","orcid":"https://orcid.org/0000-0002-7499-6256"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhou","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology","School of Information Science and Technology, ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397623","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5245-3584"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology","School of Information Science and Technology, ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"916","last_page":"921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6146700382232666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5734906196594238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45517921447753906},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4438643157482147},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4330725073814392},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4217888116836548},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41108131408691406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32407432794570923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2652672231197357}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6146700382232666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734906196594238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45517921447753906},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4438643157482147},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4330725073814392},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4217888116836548},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41108131408691406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32407432794570923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2652672231197357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps56602.2022.10008684","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008684","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2165698076","https://openalex.org/W2548218624","https://openalex.org/W2753415590","https://openalex.org/W2769195420","https://openalex.org/W2779423079","https://openalex.org/W2906498146","https://openalex.org/W2927351257","https://openalex.org/W2956106163","https://openalex.org/W2971202597","https://openalex.org/W2979864155","https://openalex.org/W2980003939","https://openalex.org/W2994898777","https://openalex.org/W3092126302","https://openalex.org/W3099837301","https://openalex.org/W3100461141","https://openalex.org/W3184675347","https://openalex.org/W3189411510","https://openalex.org/W3196980462","https://openalex.org/W6679357708","https://openalex.org/W6743846187","https://openalex.org/W6761541817"],"related_works":["https://openalex.org/W1660242800","https://openalex.org/W2077211377","https://openalex.org/W1006270037","https://openalex.org/W3152686072","https://openalex.org/W3129238073","https://openalex.org/W2056274461","https://openalex.org/W162527578","https://openalex.org/W2517044585","https://openalex.org/W2139331289","https://openalex.org/W135622916"],"abstract_inverted_index":{"The":[0],"extremely":[1],"high":[2],"business":[3],"volume":[4],"of":[5,18,39,47,52,73,102,106,116,159],"the":[6,14,37,45,71,74,77,89,96,99,103,108,114,117,123,131,156,167],"financial":[7,19,91],"industry":[8],"brings":[9],"unaffordable":[10],"operating":[11],"pressure":[12],"to":[13,112],"back-end":[15],"data":[16,158],"system":[17,33,124],"companies.":[20],"Recently,":[21],"data-driven":[22],"deep":[23,42,137],"learning":[24,43],"algorithms":[25],"have":[26,163],"achieved":[27],"breakthroughs":[28],"in":[29,36,166],"analyzing":[30],"and":[31,54,69,151,162],"predicting":[32],"anomalies.":[34],"However,":[35],"case":[38],"high-dimensional":[40],"data,":[41],"faces":[44],"problems":[46],"long":[48],"training":[49],"time,":[50],"lack":[51],"explainability":[53],"transferability.":[55],"In":[56],"this":[57,127],"paper,":[58],"we":[59,154],"propose":[60],"a":[61],"model":[62],"based":[63,94],"on":[64,95],"fuzzy":[65,78,97,104,139],"integral":[66,79],"for":[67,88],"observing":[68],"modeling":[70,128],"state":[72,115],"system.":[75,118],"Firstly,":[76],"algorithm":[80],"has":[81,130],"lower":[82],"complexity,":[83],"which":[84],"is":[85,110,120],"more":[86,145],"suitable":[87],"time-sensitive":[90],"industry.":[92],"Then,":[93],"integral,":[98],"vector":[100],"composed":[101],"measures":[105],"all":[107],"features":[109],"used":[111],"represent":[113],"It":[119],"proved":[121],"that":[122],"constructed":[125],"by":[126],"method":[129],"Markov":[132],"property.":[133],"Moreover,":[134],"compared":[135],"with":[136],"learning,":[138],"integral-based":[140],"methods":[141],"are":[142],"not":[143],"only":[144],"computationally":[146],"efficient":[147],"but":[148],"also":[149],"explainable":[150],"transferable.":[152],"Experimentally,":[153],"use":[155],"actual":[157],"securities":[160],"companies":[161],"better":[164],"results":[165],"systematic":[168],"anomaly":[169],"analysis.":[170]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}