{"id":"https://openalex.org/W4313362236","doi":"https://doi.org/10.3390/e25010069","title":"A Networked Method for Multi-Evidence-Based Information Fusion","display_name":"A Networked Method for Multi-Evidence-Based Information Fusion","publication_year":2022,"publication_date":"2022-12-30","ids":{"openalex":"https://openalex.org/W4313362236","doi":"https://doi.org/10.3390/e25010069","pmid":"https://pubmed.ncbi.nlm.nih.gov/36673209"},"language":"en","primary_location":{"id":"doi:10.3390/e25010069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25010069","pdf_url":"https://www.mdpi.com/1099-4300/25/1/69/pdf?version=1672388891","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/1/69/pdf?version=1672388891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020045454","display_name":"Qian Liang","orcid":"https://orcid.org/0000-0002-8326-4284"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Liang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, No. 38 Tongyan Road, Jinnan District, Tianjin 300350, China"],"raw_orcid":"https://orcid.org/0000-0002-8326-4284","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, No. 38 Tongyan Road, Jinnan District, Tianjin 300350, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019147450","display_name":"Zhongxin Liu","orcid":"https://orcid.org/0000-0002-3565-4800"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongxin Liu","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, No. 38 Tongyan Road, Jinnan District, Tianjin 300350, China"],"raw_orcid":"https://orcid.org/0000-0002-3565-4800","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, No. 38 Tongyan Road, Jinnan District, Tianjin 300350, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073105796","display_name":"Zengqiang Chen","orcid":"https://orcid.org/0000-0002-1415-4073"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqiang Chen","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, No. 38 Tongyan Road, Jinnan District, Tianjin 300350, China"],"raw_orcid":"https://orcid.org/0000-0002-1415-4073","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, No. 38 Tongyan Road, Jinnan District, Tianjin 300350, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019147450"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.3974,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8400406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":"1","first_page":"69","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.975600004196167,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.975600004196167,"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":0.9672999978065491,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9625999927520752,"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/dempster\u2013shafer-theory","display_name":"Dempster\u2013Shafer theory","score":0.8604306578636169},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.7584288120269775},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7084472179412842},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.637498140335083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.603320300579071},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5425326228141785},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49332061409950256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43517354130744934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42229127883911133},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.41770219802856445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33711743354797363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21230265498161316}],"concepts":[{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.8604306578636169},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.7584288120269775},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7084472179412842},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.637498140335083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603320300579071},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5425326228141785},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49332061409950256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43517354130744934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42229127883911133},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.41770219802856445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33711743354797363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21230265498161316},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25010069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25010069","pdf_url":"https://www.mdpi.com/1099-4300/25/1/69/pdf?version=1672388891","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36673209","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36673209","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9857947","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9857947","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:0451ecd4583348b39d2e7e1258728288","is_oa":false,"landing_page_url":"https://doaj.org/article/0451ecd4583348b39d2e7e1258728288","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 1, p 69 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/1/69/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25010069","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 25; Issue 1; Pages: 69","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25010069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25010069","pdf_url":"https://www.mdpi.com/1099-4300/25/1/69/pdf?version=1672388891","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2817126448","display_name":null,"funder_award_id":"61973175","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2836610242","display_name":null,"funder_award_id":"20JCYBJC01060","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G3006716907","display_name":null,"funder_award_id":"61973175","funder_id":"https://openalex.org/F4320323021","funder_display_name":"Nankai University"},{"id":"https://openalex.org/G3142383687","display_name":null,"funder_award_id":"62,103,203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3326018416","display_name":null,"funder_award_id":"63221218","funder_id":"https://openalex.org/F4320323021","funder_display_name":"Nankai University"},{"id":"https://openalex.org/G375675776","display_name":null,"funder_award_id":"20JCYBJC01060","funder_id":"https://openalex.org/F4320323021","funder_display_name":"Nankai University"},{"id":"https://openalex.org/G5514146784","display_name":null,"funder_award_id":"63221218","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6033413095","display_name":null,"funder_award_id":"61973175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6597557738","display_name":null,"funder_award_id":"61973175","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G8467551937","display_name":null,"funder_award_id":"20JCYBJC01060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8974946908","display_name":null,"funder_award_id":"20JCYBJC01060","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323021","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313362236.pdf","grobid_xml":"https://content.openalex.org/works/W4313362236.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1598908459","https://openalex.org/W1781753260","https://openalex.org/W1981643872","https://openalex.org/W1983157302","https://openalex.org/W1987812214","https://openalex.org/W1993681071","https://openalex.org/W1993853885","https://openalex.org/W2005368914","https://openalex.org/W2007300651","https://openalex.org/W2039125701","https://openalex.org/W2040616620","https://openalex.org/W2042774699","https://openalex.org/W2048196003","https://openalex.org/W2059644607","https://openalex.org/W2060614470","https://openalex.org/W2065070128","https://openalex.org/W2096088275","https://openalex.org/W2114463407","https://openalex.org/W2117079761","https://openalex.org/W2139580021","https://openalex.org/W2144590269","https://openalex.org/W2147539438","https://openalex.org/W2160643434","https://openalex.org/W2335715950","https://openalex.org/W2399520445","https://openalex.org/W2520183165","https://openalex.org/W2526850314","https://openalex.org/W2547439441","https://openalex.org/W2560888188","https://openalex.org/W2775774992","https://openalex.org/W2779219737","https://openalex.org/W2889405224","https://openalex.org/W2950847944","https://openalex.org/W3040043471","https://openalex.org/W3083573993","https://openalex.org/W3095843173","https://openalex.org/W3138901757","https://openalex.org/W3176798223","https://openalex.org/W4242007632","https://openalex.org/W4301347335","https://openalex.org/W6638311263","https://openalex.org/W6674447700","https://openalex.org/W6746885427","https://openalex.org/W6792654868"],"related_works":["https://openalex.org/W2081781795","https://openalex.org/W2400779589","https://openalex.org/W2507014139","https://openalex.org/W2348238604","https://openalex.org/W2484842385","https://openalex.org/W4313362236","https://openalex.org/W2362171096","https://openalex.org/W2377049997","https://openalex.org/W2392120641","https://openalex.org/W2072757876"],"abstract_inverted_index":{"Dempster-Shafer":[0,19,59],"evidence":[1,20,41,60,65,81,90,98,104],"theory":[2,21],"is":[3,42,68,82,99,123,133],"an":[4],"effective":[5],"way":[6],"to":[7,44],"solve":[8],"multi-sensor":[9],"data":[10],"fusion":[11,66,113,121],"problems.":[12],"After":[13,92],"developing":[14],"many":[15],"improved":[16],"combination":[17,51],"rules,":[18],"can":[22],"also":[23],"yield":[24],"excellent":[25],"results":[26,127],"when":[27],"fusing":[28],"highly":[29],"conflicting":[30,40],"evidence.":[31],"However,":[32],"these":[33],"approaches":[34],"still":[35],"have":[36],"deficiencies":[37],"if":[38],"the":[39,63,75,86,89,94,97,102,107,112,117,120,130],"due":[43],"sensor":[45],"malfunction.":[46],"This":[47],"work":[48],"presents":[49],"a":[50,71],"method":[52,132],"by":[53,84],"integrating":[54],"information":[55,108],"interaction":[56,109],"graph":[57],"and":[58],"theory;":[61],"thus,":[62],"multiple":[64],"process":[67],"expressed":[69],"as":[70],"network.":[72,110],"In":[73],"particular,":[74],"credibility":[76,95],"of":[77,80,96,106,114,119],"each":[78],"piece":[79],"obtained":[83],"measuring":[85],"distance":[87],"between":[88],"first.":[91],"that,":[93],"evaluated,":[100],"keeping":[101],"unreliable":[103],"out":[105],"With":[111],"connected":[115],"evidence,":[116],"accuracy":[118],"result":[122],"improved.":[124],"Finally,":[125],"application":[126],"show":[128],"that":[129],"presented":[131],"effective.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}