{"id":"https://openalex.org/W2104069963","doi":"https://doi.org/10.1109/ijcnn.2010.5596713","title":"A generalized Markov Chain modeling approach for on board applications","display_name":"A generalized Markov Chain modeling approach for on board applications","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2104069963","doi":"https://doi.org/10.1109/ijcnn.2010.5596713","mag":"2104069963"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5015550681","display_name":"Dimitar Filev","orcid":"https://orcid.org/0000-0001-7127-6782"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitar P. Filev","raw_affiliation_strings":["Research & Advanced Engineering, Ford Motor Company Limited, Dearborn, MI, USA","Ford Motor Company, Research & Advanced Engineering, 2101 Village Rd., Dearborn, MI 48121, USA"],"affiliations":[{"raw_affiliation_string":"Research & Advanced Engineering, Ford Motor Company Limited, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Ford Motor Company, Research & Advanced Engineering, 2101 Village Rd., Dearborn, MI 48121, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078022728","display_name":"Ilya Kolmanovsky","orcid":"https://orcid.org/0000-0002-7225-4160"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilya Kolmanovsky","raw_affiliation_strings":["Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA","Dept. of Aerospace Eng., the University of Michigan, Ann Arbor, USA"],"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Dept. of Aerospace Eng., the University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015550681"],"corresponding_institution_ids":["https://openalex.org/I1292974536"],"apc_list":null,"apc_paid":null,"fwci":2.7063,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91032018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9950000047683716,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9950000047683716,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9889000058174133,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/markov-chain","display_name":"Markov chain","score":0.8231568336486816},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.6263391375541687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5859186053276062},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5466272830963135},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5217182040214539},{"id":"https://openalex.org/keywords/markov-property","display_name":"Markov property","score":0.5166873931884766},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5152571201324463},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4969072639942169},{"id":"https://openalex.org/keywords/markov-renewal-process","display_name":"Markov renewal process","score":0.4379716217517853},{"id":"https://openalex.org/keywords/markov-kernel","display_name":"Markov kernel","score":0.4149514138698578},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4141117036342621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3669106960296631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36629217863082886},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.327913761138916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28994959592819214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07717388868331909}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8231568336486816},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.6263391375541687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5859186053276062},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5466272830963135},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5217182040214539},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.5166873931884766},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5152571201324463},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4969072639942169},{"id":"https://openalex.org/C163540672","wikidata":"https://www.wikidata.org/wiki/Q1115431","display_name":"Markov renewal process","level":5,"score":0.4379716217517853},{"id":"https://openalex.org/C106666656","wikidata":"https://www.wikidata.org/wiki/Q6771323","display_name":"Markov kernel","level":5,"score":0.4149514138698578},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4141117036342621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3669106960296631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36629217863082886},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.327913761138916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28994959592819214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07717388868331909}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W90286923","https://openalex.org/W1490891821","https://openalex.org/W1529021355","https://openalex.org/W1532331202","https://openalex.org/W1580334350","https://openalex.org/W2047010975","https://openalex.org/W2060647548","https://openalex.org/W2065900771","https://openalex.org/W2071782633","https://openalex.org/W2155513194","https://openalex.org/W2161758672","https://openalex.org/W2163660424","https://openalex.org/W4233464598","https://openalex.org/W4255783786","https://openalex.org/W6631292326","https://openalex.org/W6683501427"],"related_works":["https://openalex.org/W1493775604","https://openalex.org/W1974839821","https://openalex.org/W2393621008","https://openalex.org/W1504767525","https://openalex.org/W3216708645","https://openalex.org/W2540690809","https://openalex.org/W1976065452","https://openalex.org/W4240129243","https://openalex.org/W3022014775","https://openalex.org/W50519898"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,27,50],"a":[4,39],"new":[5],"class":[6],"of":[7,24,33,47,65,100,128,131],"Markov":[8,36,58,89],"Chain":[9,37],"type":[10],"models":[11,94,108,130],"that":[12,42,104],"can":[13],"be":[14],"effectively":[15],"used":[16],"for":[17,77,120],"real":[18],"time":[19],"modeling":[20],"and":[21,70,74,91,95,118,134],"on-line":[22],"learning":[23,79],"nonlinear":[25],"systems":[26],"uncertainties.":[28],"We":[29,55,82],"expand":[30],"the":[31,34,45,51,75,85,88,92,101],"concept":[32],"generalized":[35,57],"-":[38,68,73],"probabilistic":[40],"model":[41],"synergistically":[43],"combines":[44],"idea":[46],"transition":[48],"probabilities":[49],"information":[52,66],"granulation":[53],"paradigm.":[54],"consider":[56],"chains":[59,90],"based":[60],"on":[61,126],"two":[62],"different":[63],"types":[64],"granules":[67],"intervals":[69],"fuzzy":[71,93,110],"subsets":[72],"methods":[76],"their":[78],"from":[80],"data.":[81],"also":[83],"analyze":[84],"relationship":[86],"between":[87],"derive":[96],"an":[97],"alternative":[98],"formulation":[99],"Chapman-Kolmogorov":[102],"equation":[103],"applies":[105],"to":[106],"stochastic":[107],"in":[109],"environment.":[111],"As":[112],"this":[113],"approach":[114],"is":[115],"motivated":[116],"by":[117],"intended":[119],"in-vehicle":[121],"applications,":[122],"results":[123],"are":[124],"illustrated":[125],"examples":[127],"granular":[129],"vehicle":[132],"speed":[133],"road":[135],"grade.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}