{"id":"https://openalex.org/W2999701025","doi":"https://doi.org/10.1109/access.2020.2964729","title":"Multi-Sensor Data Fusion Based on Improved Analytic Hierarchy Process","display_name":"Multi-Sensor Data Fusion Based on Improved Analytic Hierarchy Process","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999701025","doi":"https://doi.org/10.1109/access.2020.2964729","mag":"2999701025"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2964729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2964729","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951124.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052473721","display_name":"Zhan Deng","orcid":"https://orcid.org/0000-0003-0376-2564"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhan Deng","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0376-2564","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040333383","display_name":"Jianyu Wang","orcid":"https://orcid.org/0000-0001-9020-563X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyu Wang","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9020-563X","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052473721"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6332,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88402506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"9875","last_page":"9895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9498999714851379,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9240999817848206,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.6910357475280762},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6807094812393188},{"id":"https://openalex.org/keywords/analytic-hierarchy-process","display_name":"Analytic hierarchy process","score":0.5704577565193176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5261570811271667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5182878375053406},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.48295992612838745},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4667656123638153},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46325477957725525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43491244316101074},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4339948296546936},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4278474450111389},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.395975798368454},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3364783823490143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32019034028053284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31155306100845337},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.10230416059494019}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6910357475280762},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6807094812393188},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.5704577565193176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5261570811271667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5182878375053406},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.48295992612838745},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4667656123638153},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46325477957725525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43491244316101074},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4339948296546936},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4278474450111389},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.395975798368454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3364783823490143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32019034028053284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31155306100845337},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.10230416059494019},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2964729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2964729","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:21c67e6b48eb4697bb3769f332d00568","is_oa":true,"landing_page_url":"https://doaj.org/article/21c67e6b48eb4697bb3769f332d00568","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 9875-9895 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2964729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2964729","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2999701025.pdf","grobid_xml":"https://content.openalex.org/works/W2999701025.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1218083405","https://openalex.org/W1510827835","https://openalex.org/W1975650154","https://openalex.org/W1980513886","https://openalex.org/W1981643872","https://openalex.org/W1987812214","https://openalex.org/W1991946985","https://openalex.org/W1993681071","https://openalex.org/W1993853885","https://openalex.org/W2004112638","https://openalex.org/W2008535418","https://openalex.org/W2012618195","https://openalex.org/W2016184618","https://openalex.org/W2017331646","https://openalex.org/W2019926283","https://openalex.org/W2019950953","https://openalex.org/W2023716082","https://openalex.org/W2038420319","https://openalex.org/W2040149775","https://openalex.org/W2048196003","https://openalex.org/W2055756785","https://openalex.org/W2066843515","https://openalex.org/W2071460834","https://openalex.org/W2075638721","https://openalex.org/W2078198101","https://openalex.org/W2092553756","https://openalex.org/W2096088275","https://openalex.org/W2103369349","https://openalex.org/W2105012045","https://openalex.org/W2114463407","https://openalex.org/W2117079761","https://openalex.org/W2129048010","https://openalex.org/W2129521002","https://openalex.org/W2130046318","https://openalex.org/W2130686300","https://openalex.org/W2143451122","https://openalex.org/W2154127879","https://openalex.org/W2166306966","https://openalex.org/W2168936936","https://openalex.org/W2176632791","https://openalex.org/W2210272598","https://openalex.org/W2275274585","https://openalex.org/W2296603377","https://openalex.org/W2402164117","https://openalex.org/W2406470551","https://openalex.org/W2406982074","https://openalex.org/W2561992388","https://openalex.org/W2564915840","https://openalex.org/W2577307581","https://openalex.org/W2608395926","https://openalex.org/W2765212055","https://openalex.org/W2769087035","https://openalex.org/W2775774992","https://openalex.org/W2779735534","https://openalex.org/W2790973169","https://openalex.org/W2794124357","https://openalex.org/W2797148637","https://openalex.org/W2885083604","https://openalex.org/W2889405224","https://openalex.org/W2907332265","https://openalex.org/W2920894740","https://openalex.org/W2934195809","https://openalex.org/W2941855598","https://openalex.org/W2963895818","https://openalex.org/W2969278859","https://openalex.org/W2969640549","https://openalex.org/W2970690932","https://openalex.org/W2986647026","https://openalex.org/W3015234834","https://openalex.org/W3024403430","https://openalex.org/W4231607002","https://openalex.org/W4246724356","https://openalex.org/W4301347335","https://openalex.org/W6630678722","https://openalex.org/W6684578254"],"related_works":["https://openalex.org/W2619886288","https://openalex.org/W2410864841","https://openalex.org/W380774767","https://openalex.org/W3134930408","https://openalex.org/W4287965002","https://openalex.org/W1977674833","https://openalex.org/W2395251459","https://openalex.org/W2028983668","https://openalex.org/W2084939379","https://openalex.org/W1489099099"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"method":[3,285],"for":[4,40,65],"uncertainty":[5],"modeling,":[6],"Dempster-Shafer":[7],"(DS)":[8],"evidence":[9,32,43,72,114,133,149,251,260,295],"theory":[10],"has":[11],"been":[12,46],"widely":[13],"applied":[14,201],"in":[15,115,291,300],"practical":[16],"applications.":[17],"However,":[18],"the":[19,42,60,66,69,83,88,108,113,127,140,144,157,164,167,174,179,187,191,194,204,218,223,228,231,235,242,249,255,259,273,276,283,293,301],"counter-intuitive":[20],"results":[21],"are":[22,104,238,269],"often":[23,75],"generated":[24],"when":[25],"fusing":[26],"different":[27,38],"sources":[28],"of":[29,68,85,110,129,132,143,147,156,170,178,197,222,230,245,258,275],"highly":[30],"conflicting":[31,61,294],"with":[33,254],"Dempster's":[34,263],"combination":[35,264],"rule.":[36,265],"Several":[37],"methods":[39,50],"measuring":[41],"conflict":[44,70,86,111],"have":[45],"proposed.":[47],"Nevertheless,":[48],"these":[49],"showed":[51],"focus":[52],"only":[53],"on":[54,163],"a":[55],"single":[56],"criterion":[57,158,180,199,232],"to":[58,106,125,202,216,240,271],"measure":[59,107],"evidence.":[62,247],"Mono-criteria":[63],"factor":[64],"measurement":[67],"between":[71,87,112,166],"is,":[73],"however,":[74],"unreliable":[76],"and":[77,95,234,289],"inaccuracy.":[78],"Because":[79],"various":[80],"factors":[81,103],"affect":[82],"degree":[84,109],"evidence,":[89],"such":[90],"as":[91],"imperfection,":[92],"dissimilarity,":[93],"disparity,":[94],"uncertainty.":[96],"To":[97],"address":[98],"this":[99,116],"issue,":[100],"multiple":[101,136],"criteria":[102],"utilized":[105],"paper.":[117],"An":[118],"improved":[119],"analytic":[120],"hierarchy":[121],"process":[122],"is":[123,160,200,214,252,286],"proposed":[124,277,284],"determine":[126],"weights":[128,244,257],"each":[130,148,171,198,246],"body":[131],"by":[134,185],"considering":[135],"criteria.":[137],"Firstly,":[138],"calculating":[139],"quantitative":[141,168,195],"value":[142],"evaluation":[145],"index":[146],"under":[150],"every":[151],"criterion.":[152,172],"The":[153,209,279],"covariance":[154,165,188],"matrix":[155,177,213,221],"layer":[159,181,233,237],"determined":[161],"based":[162],"values":[169,196],"Then,":[173],"pairwise":[175,219],"comparison":[176,220],"can":[182],"be":[183],"obtained":[184],"transforming":[186],"matrix.":[189,208],"Next,":[190],"variance":[192],"among":[193],"construct":[203],"fuzzy":[205,210],"preference":[206,211],"relation":[207,212],"used":[215],"replace":[217],"scheme":[224,236],"layer.":[225],"After":[226],"that,":[227],"weight":[229],"combined":[239],"acquire":[241],"final":[243,256],"Finally,":[248],"original":[250],"modified":[253],"before":[261],"using":[262],"Two":[266],"numerical":[267],"experiments":[268],"given":[270],"verify":[272],"efficiency":[274],"approach.":[278],"result":[280],"shows":[281],"that":[282],"more":[287],"efficient":[288],"feasible":[290],"managing":[292],"than":[296],"other":[297],"approaches":[298],"available":[299],"literature":[302],"described.":[303]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}