{"id":"https://openalex.org/W2152878435","doi":"https://doi.org/10.1109/tim.2010.2060890","title":"Uncertainty Evaluation in Two-Dimensional Indirect Measurement by Evidence and Probability Theories","display_name":"Uncertainty Evaluation in Two-Dimensional Indirect Measurement by Evidence and Probability Theories","publication_year":2010,"publication_date":"2010-08-24","ids":{"openalex":"https://openalex.org/W2152878435","doi":"https://doi.org/10.1109/tim.2010.2060890","mag":"2152878435"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2010.2060890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2010.2060890","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5031811472","display_name":"Marco Pertile","orcid":"https://orcid.org/0000-0003-4940-6792"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Pertile","raw_affiliation_strings":["Department of Mechanical Engineering, University of Padua, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Padua, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054756346","display_name":"M. De Cecco","orcid":"https://orcid.org/0000-0003-1562-0328"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mariolino De Cecco","raw_affiliation_strings":["Department of Mechanical and Structural Engineering, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Structural Engineering, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063490014","display_name":"Luca Baglivo","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Baglivo","raw_affiliation_strings":["Department of Mechanical and Structural Engineering, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Structural Engineering, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031811472"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":2.526,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91650286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"59","issue":"11","first_page":"2816","last_page":"2824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9998000264167786,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9998000264167786,"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/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/exploit","display_name":"Exploit","score":0.55595862865448},{"id":"https://openalex.org/keywords/measurement-uncertainty","display_name":"Measurement uncertainty","score":0.5292738676071167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5099474191665649},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4769893288612366},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4646539092063904},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4486600458621979},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.43369007110595703},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4229954779148102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3729061186313629},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3433918356895447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2732582092285156}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.55595862865448},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.5292738676071167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5099474191665649},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4769893288612366},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4646539092063904},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4486600458621979},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.43369007110595703},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4229954779148102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3729061186313629},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3433918356895447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2732582092285156},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tim.2010.2060890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2010.2060890","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/80430","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/80430","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:www.research.unipd.it:11577/3195049","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3195049","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W631056405","https://openalex.org/W1898259180","https://openalex.org/W1968287130","https://openalex.org/W1994964718","https://openalex.org/W2017083681","https://openalex.org/W2045810824","https://openalex.org/W2066864565","https://openalex.org/W2071200009","https://openalex.org/W2075472515","https://openalex.org/W2083623706","https://openalex.org/W2084175175","https://openalex.org/W2097735228","https://openalex.org/W2109657831","https://openalex.org/W2115886125","https://openalex.org/W2124409483","https://openalex.org/W2127327277","https://openalex.org/W2147476066","https://openalex.org/W2151000533","https://openalex.org/W2168738067","https://openalex.org/W2315214008","https://openalex.org/W2983338817","https://openalex.org/W2985200048","https://openalex.org/W2988726694","https://openalex.org/W3142229452"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W4288910996","https://openalex.org/W2391731528"],"abstract_inverted_index":{"An":[0],"improved":[1,35,139],"method":[2,59,94,141],"for":[3,42],"2-D":[4,16,24,57,116,160],"uncertainty":[5,80,107,144],"expression":[6],"and":[7,15,27,47,82,131,150],"propagation":[8],"based":[9],"on":[10,123],"the":[11,43,68,91,102,115,133,155,177],"theory":[12],"of":[13,45,55,67,87,105,118,135,148,172],"evidence":[14],"random-fuzzy":[17,140],"variables":[18],"(RFVs)":[19],"is":[20],"described.":[21],"A":[22],"previous":[23,64,156],"RFV":[25,36,58,161],"approach":[26,37,162],"two":[28,69,178],"probability-based":[29,70,179],"approaches":[30],"are":[31,112,129,181],"also":[32,163,182],"introduced.":[33],"The":[34,126,138,158],"exploits":[38,95],"a":[39,53,56,63,119,124,165,169],"new":[40,159],"algorithm":[41],"combination":[44],"random":[46],"systematic":[48,106],"effects,":[49],"trying":[50],"to":[51,98,114],"overcome":[52],"drawback":[54],"already":[60],"disclosed":[61],"in":[62,146],"work.":[65],"One":[66],"methods":[71,111,180],"does":[72],"not":[73],"take":[74,99],"into":[75,100],"account":[76,101],"any":[77],"correlation":[78,97],"among":[79,83],"sources":[81],"different":[84],"time":[85,96],"instants":[86],"each":[88],"source,":[89],"whereas":[90],"other":[92],"probability":[93],"repetitive":[103],"nature":[104],"sources.":[108],"All":[109],"described":[110],"applied":[113],"case":[117,147],"vehicle":[120],"position":[121],"measurement":[122],"plane.":[125],"obtained":[127],"results":[128],"compared":[130],"show":[132],"compatibility":[134],"all":[136],"approaches.":[137],"yields":[142],"better":[143,166],"evaluation":[145],"narrow":[149],"elongated":[151],"confidence":[152],"regions":[153],"than":[154],"method.":[157],"exhibits":[164],"behavior":[167],"from":[168],"theoretical":[170],"point":[171],"view.":[173],"Main":[174],"differences":[175],"between":[176],"presented.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
