{"id":"https://openalex.org/W2766851222","doi":"https://doi.org/10.23919/iconac.2017.8082048","title":"Inferential modelling and decision making with data","display_name":"Inferential modelling and decision making with data","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2766851222","doi":"https://doi.org/10.23919/iconac.2017.8082048","mag":"2766851222"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2017.8082048","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2017.8082048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 23rd International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.manchester.ac.uk/ws/files/60643969/YangXuYang_MAKER_Huddersfield.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054515260","display_name":"Jianbo Yang","orcid":"https://orcid.org/0000-0002-1368-5294"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jian-Bo Yang","raw_affiliation_strings":["Decision and Cognitive Sciences Research Centre, Ministry of Education, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Decision and Cognitive Sciences Research Centre, Ministry of Education, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030611924","display_name":"Dong\u2010Ling Xu","orcid":"https://orcid.org/0000-0003-4480-1611"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong-Ling Xu","raw_affiliation_strings":["Decision and Cognitive Sciences Research Centre, Ministry of Education, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Decision and Cognitive Sciences Research Centre, Ministry of Education, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054515260"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2895,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91204862,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9937000274658203,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9937000274658203,"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9351999759674072,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9337999820709229,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6765487194061279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730489730834961},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5995821952819824},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.596895158290863},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5952198505401611},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5131641030311584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49122995138168335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4560298025608063},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4555375576019287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45406314730644226},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.4457879960536957},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4391971528530121},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4163168668746948},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.23662233352661133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1969899833202362},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17957746982574463},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09861049056053162}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6765487194061279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730489730834961},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5995821952819824},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.596895158290863},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5952198505401611},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5131641030311584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49122995138168335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4560298025608063},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4555375576019287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45406314730644226},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.4457879960536957},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4391971528530121},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4163168668746948},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.23662233352661133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1969899833202362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17957746982574463},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09861049056053162},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/iconac.2017.8082048","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2017.8082048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 23rd International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/b0055301-e40f-4fc7-bd38-6940c7530270","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/b0055301-e40f-4fc7-bd38-6940c7530270","pdf_url":"https://pure.manchester.ac.uk/ws/files/60643969/YangXuYang_MAKER_Huddersfield.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, J-B & Xu, D 2017, Inferential Modelling and Decision Making with Data. in Automation and Computing (ICAC),2017 23rd International Conference on. IEEE. https://doi.org/10.23919/IConAC.2017.8082048","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/b0055301-e40f-4fc7-bd38-6940c7530270","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/b0055301-e40f-4fc7-bd38-6940c7530270","pdf_url":"https://pure.manchester.ac.uk/ws/files/60643969/YangXuYang_MAKER_Huddersfield.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, J-B & Xu, D 2017, Inferential Modelling and Decision Making with Data. in Automation and Computing (ICAC),2017 23rd International Conference on. IEEE. https://doi.org/10.23919/IConAC.2017.8082048","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2766851222.pdf","grobid_xml":"https://content.openalex.org/works/W2766851222.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2039066264","https://openalex.org/W2049337423","https://openalex.org/W2147497776","https://openalex.org/W2797148637"],"related_works":["https://openalex.org/W50343087","https://openalex.org/W4236246625","https://openalex.org/W2981347089","https://openalex.org/W2963194474","https://openalex.org/W2106882672","https://openalex.org/W3001657888","https://openalex.org/W2924916110","https://openalex.org/W3098026267","https://openalex.org/W2535690855","https://openalex.org/W3111809358"],"abstract_inverted_index":{"In":[0,170],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"the":[5,47,51,120,165,171],"main":[6],"concepts":[7],"of":[8,27,31,34,77,105,112,127,132,167,176],"a":[9,75,88,98,110],"new":[10],"maximum":[11],"livelihood":[12],"evidential":[13,83],"reasoning":[14],"(MAKER)":[15],"framework":[16],"for":[17,183],"data-driven":[18],"inferential":[19,184],"modelling":[20],"and":[21,40,56,66,92,100,107,134,141,188],"decision":[22,189],"making":[23],"under":[24],"different":[25,63,130,174],"types":[26,33,175],"uncertainty.":[28],"It":[29,117],"consists":[30],"two":[32],"model:":[35],"state":[36,90],"space":[37,42,123],"model":[38,43,151],"(SSM)":[39],"evidence":[41,78,106,113,128,155],"(ESM),":[44],"driven":[45],"by":[46,71,163],"data":[48,73,162],"that":[49,79,124],"reflects":[50],"relationships":[52],"between":[53,109],"system":[54,64,89,95,139,145],"inputs":[55,140],"output.":[57,146],"SSM":[58],"is":[59,69,80,118,152],"constructed":[60],"to":[61,74,87,143],"describe":[62],"states":[65],"changes.":[67],"ESM":[68],"established":[70],"mapping":[72],"set":[76,91],"partitioned":[81],"into":[82,181],"elements":[84],"each":[85],"pointing":[86],"together":[93],"represents":[94],"behaviours":[96],"in":[97,119],"probabilistic":[99,186],"distributed":[101],"manner.":[102],"The":[103],"reliability":[104,135,156],"interdependence":[108,133],"pair":[111],"are":[114,136],"explicitly":[115],"measured.":[116],"joint":[121],"evidence-state":[122],"multiple":[125],"pieces":[126],"with":[129],"degrees":[131],"acquired":[137],"from":[138,160],"combined":[142],"inference":[144],"A":[147],"general":[148],"optimal":[149],"learning":[150],"constructed,":[153],"where":[154],"can":[157,178],"be":[158,179],"learnt":[159],"historical":[161],"maximising":[164],"likelihood":[166],"true":[168],"state.":[169],"MAKER":[172],"framework,":[173],"uncertainty":[177],"taken":[180],"account":[182],"modelling,":[185],"prediction":[187],"making.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-01T06:04:38.248271","created_date":"2025-10-10T00:00:00"}