{"id":"https://openalex.org/W3206471400","doi":"https://doi.org/10.1007/s10489-021-02850-0","title":"An improved evidential Markov decision making model","display_name":"An improved evidential Markov decision making model","publication_year":2021,"publication_date":"2021-10-16","ids":{"openalex":"https://openalex.org/W3206471400","doi":"https://doi.org/10.1007/s10489-021-02850-0","mag":"3206471400"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-021-02850-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02850-0","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5029174092","display_name":"Luyuan Chen","orcid":"https://orcid.org/0000-0003-3506-5296"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luyuan Chen","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741983","display_name":"Yong Deng","orcid":"https://orcid.org/0000-0001-9286-2123"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]},{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Yong Deng","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","School of Education, Shaanxi Normal University, Xi\u2019an, China","School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1211, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Education, Shaanxi Normal University, Xi\u2019an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1211, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029174092"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.7548,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93233952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"52","issue":"7","first_page":"8008","last_page":"8017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9715999960899353,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9715999960899353,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9358000159263611,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9189000129699707,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7396231889724731},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.610008180141449},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5992673635482788},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5922396779060364},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.5021657943725586},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.46572062373161316},{"id":"https://openalex.org/keywords/binary-entropy-function","display_name":"Binary entropy function","score":0.4525262415409088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4199443459510803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41313743591308594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3381599187850952},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.15892016887664795},{"id":"https://openalex.org/keywords/business-decision-mapping","display_name":"Business decision mapping","score":0.07775956392288208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396231889724731},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.610008180141449},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5992673635482788},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5922396779060364},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.5021657943725586},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.46572062373161316},{"id":"https://openalex.org/C44415725","wikidata":"https://www.wikidata.org/wiki/Q4913893","display_name":"Binary entropy function","level":3,"score":0.4525262415409088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4199443459510803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41313743591308594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3381599187850952},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.15892016887664795},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.07775956392288208},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-021-02850-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02850-0","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1965832725","https://openalex.org/W1978897143","https://openalex.org/W2006552636","https://openalex.org/W2042255315","https://openalex.org/W2117079761","https://openalex.org/W2288006236","https://openalex.org/W2580767461","https://openalex.org/W2588784603","https://openalex.org/W2624260220","https://openalex.org/W2746720022","https://openalex.org/W2753546593","https://openalex.org/W2755147305","https://openalex.org/W2797148637","https://openalex.org/W2885436354","https://openalex.org/W2890276219","https://openalex.org/W2891187595","https://openalex.org/W2901636975","https://openalex.org/W2911322731","https://openalex.org/W2938685076","https://openalex.org/W2942289617","https://openalex.org/W2946021995","https://openalex.org/W2949398678","https://openalex.org/W2963530201","https://openalex.org/W2963974674","https://openalex.org/W2973913061","https://openalex.org/W2980080877","https://openalex.org/W2980635953","https://openalex.org/W2990177392","https://openalex.org/W2994958028","https://openalex.org/W2998102587","https://openalex.org/W2998687243","https://openalex.org/W3007573849","https://openalex.org/W3007999534","https://openalex.org/W3008615821","https://openalex.org/W3009817668","https://openalex.org/W3013560346","https://openalex.org/W3020860606","https://openalex.org/W3027870893","https://openalex.org/W3036881995","https://openalex.org/W3036967800","https://openalex.org/W3037377502","https://openalex.org/W3042990076","https://openalex.org/W3045107841","https://openalex.org/W3046819843","https://openalex.org/W3080250612","https://openalex.org/W3084456568","https://openalex.org/W3084789038","https://openalex.org/W3091843619","https://openalex.org/W3092168368","https://openalex.org/W3095296270","https://openalex.org/W3110268194","https://openalex.org/W3115726904","https://openalex.org/W3119223854","https://openalex.org/W3119329484","https://openalex.org/W3120347279","https://openalex.org/W3125348289","https://openalex.org/W3127779486","https://openalex.org/W3128472026","https://openalex.org/W3129433809","https://openalex.org/W3139450561","https://openalex.org/W3157818736","https://openalex.org/W3160365846","https://openalex.org/W3167675159","https://openalex.org/W3170477533","https://openalex.org/W3174839068","https://openalex.org/W3175552386","https://openalex.org/W3191956674","https://openalex.org/W3194235253","https://openalex.org/W3196611792","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W2575378359","https://openalex.org/W2963163002","https://openalex.org/W1672097335","https://openalex.org/W4297751392","https://openalex.org/W32935261","https://openalex.org/W2098475155","https://openalex.org/W2064875109","https://openalex.org/W2176894780","https://openalex.org/W2172205801","https://openalex.org/W47925213"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
