{"id":"https://openalex.org/W7128298228","doi":"https://doi.org/10.1016/j.engappai.2026.114112","title":"A new distance approach to measure the evidence conflict in orderable set and its applications","display_name":"A new distance approach to measure the evidence conflict in orderable set and its applications","publication_year":2026,"publication_date":"2026-02-07","ids":{"openalex":"https://openalex.org/W7128298228","doi":"https://doi.org/10.1016/j.engappai.2026.114112"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114112","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114112","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial 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/A5121217690","display_name":"Xiaoyan Su","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyan Su","raw_affiliation_strings":["School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125334421","display_name":"Yanying Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanying Yu","raw_affiliation_strings":["School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China"],"raw_orcid":"https://orcid.org/0009-0002-6810-6293","affiliations":[{"raw_affiliation_string":"School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5121217690"],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":null,"fwci":11.5966,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.96230159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"169","issue":null,"first_page":"114112","last_page":"114112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.19370000064373016,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.19370000064373016,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.11129999905824661,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.10279999673366547,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/measure","display_name":"Measure (data warehouse)","score":0.6578999757766724},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6150000095367432},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5938000082969666},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5457000136375427},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5160999894142151},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4973999857902527},{"id":"https://openalex.org/keywords/discernment","display_name":"Discernment","score":0.4884999990463257},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.4828999936580658},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.4745999872684479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398999929428101},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6578999757766724},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6150000095367432},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5938000082969666},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5457000136375427},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4973999857902527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4902999997138977},{"id":"https://openalex.org/C2780211513","wikidata":"https://www.wikidata.org/wiki/Q1132167","display_name":"Discernment","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4729999899864197},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4560999870300293},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.388700008392334},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C9490382","wikidata":"https://www.wikidata.org/wiki/Q729113","display_name":"Weighted arithmetic mean","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.114112","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114112","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6486411690711975,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3537974002","display_name":null,"funder_award_id":"3413DZ2273800","funder_id":"https://openalex.org/F4320317306","funder_display_name":"Shanghai Key Laboratory of Power Station Automation Technology"},{"id":"https://openalex.org/G3931444978","display_name":null,"funder_award_id":"13DZ2273800","funder_id":"https://openalex.org/F4320317306","funder_display_name":"Shanghai Key Laboratory of Power Station Automation Technology"},{"id":"https://openalex.org/G727831665","display_name":null,"funder_award_id":"21QA1403400","funder_id":"https://openalex.org/F4320327803","funder_display_name":"Shanghai Rising-Star Program"}],"funders":[{"id":"https://openalex.org/F4320317306","display_name":"Shanghai Key Laboratory of Power Station Automation Technology","ror":null},{"id":"https://openalex.org/F4320327803","display_name":"Shanghai Rising-Star Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1968257101","https://openalex.org/W1987812214","https://openalex.org/W1993853885","https://openalex.org/W2000984725","https://openalex.org/W2016184618","https://openalex.org/W2040833276","https://openalex.org/W2109386126","https://openalex.org/W2109419477","https://openalex.org/W2114463407","https://openalex.org/W2154070754","https://openalex.org/W2154127879","https://openalex.org/W2200383562","https://openalex.org/W2406470551","https://openalex.org/W2759626780","https://openalex.org/W2946554560","https://openalex.org/W2963184091","https://openalex.org/W2999669791","https://openalex.org/W3130274749","https://openalex.org/W3198403055","https://openalex.org/W3210951296","https://openalex.org/W4210420716","https://openalex.org/W4211007335","https://openalex.org/W4295845519","https://openalex.org/W4315630831","https://openalex.org/W4378190892","https://openalex.org/W4386322182","https://openalex.org/W4389724874","https://openalex.org/W4389925197","https://openalex.org/W4392157447","https://openalex.org/W4393970351","https://openalex.org/W4394935701","https://openalex.org/W4396884079","https://openalex.org/W4398161748","https://openalex.org/W4399555987","https://openalex.org/W4399560954","https://openalex.org/W4401328679","https://openalex.org/W4401990797","https://openalex.org/W4402827466","https://openalex.org/W4403926024","https://openalex.org/W4404593423","https://openalex.org/W4406415529","https://openalex.org/W4406816948","https://openalex.org/W4408323134","https://openalex.org/W4410350722","https://openalex.org/W4410773668","https://openalex.org/W4411090255","https://openalex.org/W4411458598","https://openalex.org/W4411469986","https://openalex.org/W4412781866","https://openalex.org/W4414140479","https://openalex.org/W4414149619","https://openalex.org/W4415355343"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2026-02-08T00:00:00"}
