{"id":"https://openalex.org/W2914353843","doi":"https://doi.org/10.3390/e21020117","title":"An Entropy-Based Neighborhood Rough Set and PSO-SVRM Model for Fatigue Life Prediction of Titanium Alloy Welded Joints","display_name":"An Entropy-Based Neighborhood Rough Set and PSO-SVRM Model for Fatigue Life Prediction of Titanium Alloy Welded Joints","publication_year":2019,"publication_date":"2019-01-27","ids":{"openalex":"https://openalex.org/W2914353843","doi":"https://doi.org/10.3390/e21020117","mag":"2914353843","pmid":"https://pubmed.ncbi.nlm.nih.gov/33266833"},"language":"en","primary_location":{"id":"doi:10.3390/e21020117","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21020117","pdf_url":"https://www.mdpi.com/1099-4300/21/2/117/pdf?version=1548590770","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/1099-4300/21/2/117/pdf?version=1548590770","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040635483","display_name":"Li Zou","orcid":"https://orcid.org/0000-0002-6724-8620"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zou","raw_affiliation_strings":["Dalian Key Laboratory of Welded Structures and Its Intelligent Manufacturing Technology (IMT) of Rail Transportation Equipment, Dalian Jiaotong University, Dalian 116028, China","Sichuan Provincial Key Lab of Process Equipment and Control, Zigong 643000, China","Software Technology Institute, Dalian Jiaotong University, Dalian 116028, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Key Laboratory of Welded Structures and Its Intelligent Manufacturing Technology (IMT) of Rail Transportation Equipment, Dalian Jiaotong University, Dalian 116028, China","institution_ids":["https://openalex.org/I7350606"]},{"raw_affiliation_string":"Sichuan Provincial Key Lab of Process Equipment and Control, Zigong 643000, China","institution_ids":[]},{"raw_affiliation_string":"Software Technology Institute, Dalian Jiaotong University, Dalian 116028, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030414000","display_name":"Yibo Sun","orcid":"https://orcid.org/0000-0002-4235-569X"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Sun","raw_affiliation_strings":["Dalian Key Laboratory of Welded Structures and Its Intelligent Manufacturing Technology (IMT) of Rail Transportation Equipment, Dalian Jiaotong University, Dalian 116028, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Key Laboratory of Welded Structures and Its Intelligent Manufacturing Technology (IMT) of Rail Transportation Equipment, Dalian Jiaotong University, Dalian 116028, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101605221","display_name":"Xinhua Yang","orcid":"https://orcid.org/0000-0001-8469-342X"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhua Yang","raw_affiliation_strings":["Dalian Key Laboratory of Welded Structures and Its Intelligent Manufacturing Technology (IMT) of Rail Transportation Equipment, Dalian Jiaotong University, Dalian 116028, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Key Laboratory of Welded Structures and Its Intelligent Manufacturing Technology (IMT) of Rail Transportation Equipment, Dalian Jiaotong University, Dalian 116028, China","institution_ids":["https://openalex.org/I7350606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101605221"],"corresponding_institution_ids":["https://openalex.org/I7350606"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.4204,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82899386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"2","first_page":"117","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9975000023841858,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/welding","display_name":"Welding","score":0.7683773040771484},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6030032634735107},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.5869272947311401},{"id":"https://openalex.org/keywords/titanium-alloy","display_name":"Titanium alloy","score":0.5735023021697998},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.5242871642112732},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.49439549446105957},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4458787143230438},{"id":"https://openalex.org/keywords/titanium","display_name":"Titanium","score":0.4438883066177368},{"id":"https://openalex.org/keywords/alloy","display_name":"Alloy","score":0.43308141827583313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3283706307411194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23389428853988647},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.22955697774887085},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20996791124343872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14198678731918335}],"concepts":[{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.7683773040771484},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6030032634735107},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.5869272947311401},{"id":"https://openalex.org/C8953137","wikidata":"https://www.wikidata.org/wiki/Q3300719","display_name":"Titanium alloy","level":3,"score":0.5735023021697998},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5242871642112732},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.49439549446105957},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4458787143230438},{"id":"https://openalex.org/C506065880","wikidata":"https://www.wikidata.org/wiki/Q716","display_name":"Titanium","level":2,"score":0.4438883066177368},{"id":"https://openalex.org/C2780026712","wikidata":"https://www.wikidata.org/wiki/Q37756","display_name":"Alloy","level":2,"score":0.43308141827583313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3283706307411194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23389428853988647},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.22955697774887085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20996791124343872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14198678731918335}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e21020117","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21020117","pdf_url":"https://www.mdpi.com/1099-4300/21/2/117/pdf?version=1548590770","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:33266833","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33266833","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:doaj.org/article:221fb83cb7b94fc29490225ae4527ac6","is_oa":true,"landing_page_url":"https://doaj.org/article/221fb83cb7b94fc29490225ae4527ac6","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":"Entropy, Vol 21, Iss 2, p 117 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/2/117/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21020117","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","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7514600","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7514600","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"}],"best_oa_location":{"id":"doi:10.3390/e21020117","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21020117","pdf_url":"https://www.mdpi.com/1099-4300/21/2/117/pdf?version=1548590770","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":[{"id":"https://metadata.un.org/sdg/12","score":0.46000000834465027,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G7211832991","display_name":null,"funder_award_id":"51875072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2914353843.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1973872631","https://openalex.org/W1988335915","https://openalex.org/W2013241275","https://openalex.org/W2024172683","https://openalex.org/W2025051375","https://openalex.org/W2031139715","https://openalex.org/W2031913311","https://openalex.org/W2034337579","https://openalex.org/W2067138224","https://openalex.org/W2108745282","https://openalex.org/W2120262367","https://openalex.org/W2137945826","https://openalex.org/W2144796865","https://openalex.org/W2145472217","https://openalex.org/W2152771541","https://openalex.org/W2155174034","https://openalex.org/W2158633287","https://openalex.org/W2169245194","https://openalex.org/W2407817493","https://openalex.org/W2409322758","https://openalex.org/W2491491757","https://openalex.org/W2495009916","https://openalex.org/W2568232622","https://openalex.org/W2571780184","https://openalex.org/W2622634640","https://openalex.org/W2770344288","https://openalex.org/W2896353004","https://openalex.org/W2990482619","https://openalex.org/W3120421331","https://openalex.org/W6601429345","https://openalex.org/W6647441232","https://openalex.org/W6680328495","https://openalex.org/W6682642761","https://openalex.org/W6723133142"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2167403502","https://openalex.org/W2353240132","https://openalex.org/W1587347718","https://openalex.org/W2375932290","https://openalex.org/W341228048","https://openalex.org/W3096312914","https://openalex.org/W2164799781"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,13,49,106,199],"obtain":[3],"comprehensive":[4],"assessment":[5],"of":[6,18,22,56,73,77,117,140,152,189,203],"the":[7,16,35,70,74,92,107,125,138,143,149,161,176,186,190,200,204],"factors":[8,72,170],"influencing":[9,71,169],"fatigue":[10,19,52,75,114,127,150,164,167,187],"life":[11,20,53,76,115,151,165,168,188],"and":[12,41,91,102,166],"further":[14],"improve":[15],"accuracy":[17],"prediction":[21,54,116],"welded":[23,59,80,120,155,193],"joints,":[24],"soft":[25],"computing":[26],"methods,":[27],"including":[28],"entropy-based":[29,64],"neighborhood":[30,65],"rough":[31,66],"set":[32,67],"reduction":[33,68,93,108],"algorithm,":[34,69],"particle":[36],"swarm":[37],"optimization":[38],"(PSO)":[39],"algorithm":[40],"support":[42],"vector":[43],"regression":[44],"machine":[45],"(SVRM)":[46],"are":[47,89,95,100],"combined":[48],"construct":[50],"a":[51],"model":[55,112,145,159],"titanium":[57,78,118,153,191],"alloy":[58,79,119,154,192],"joints.":[60,156],"By":[61],"using":[62],"an":[63],"joints":[81,121,194],"such":[82],"as":[83],"joint":[84,141],"type,":[85,142],"plate":[86],"thickness,":[87],"etc.":[88],"analyzed":[90],"results":[94,131],"obtained.":[96],"Fatigue":[97],"characteristic":[98,128],"domains":[99],"proposed":[101],"determined":[103],"subsequently":[104],"according":[105],"results.":[109],"The":[110,157],"PSO-SVRM":[111,144,158],"for":[113],"is":[122],"established":[123],"in":[124,171],"suggested":[126],"domains.":[129],"Experimental":[130],"show":[132],"that":[133],"by":[134],"taking":[135],"into":[136],"account":[137],"impact":[139],"could":[146,184],"better":[147],"predict":[148,185],"indicates":[160],"relationship":[162],"between":[163],"multidimensional":[172],"space":[173],"compared":[174],"with":[175],"conventional":[177],"least-square":[178],"S-N":[179],"curve":[180],"fitting":[181],"method,":[182],"it":[183],"more":[195],"accurately":[196],"thus":[197],"helps":[198],"reliability":[201],"design":[202],"structure.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}