{"id":"https://openalex.org/W4312943788","doi":"https://doi.org/10.1145/3565291.3565313","title":"DecisionVis: A Method of Multi-attribute Correlation Visual Analysis Decision","display_name":"DecisionVis: A Method of Multi-attribute Correlation Visual Analysis Decision","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4312943788","doi":"https://doi.org/10.1145/3565291.3565313"},"language":"en","primary_location":{"id":"doi:10.1145/3565291.3565313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data Technologies","raw_type":"proceedings-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/A5045620126","display_name":"Qikai Chu","orcid":"https://orcid.org/0000-0002-2460-0858"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qikai Chu","raw_affiliation_strings":["Sichuan University of Science and Engineering, Sichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University of Science and Engineering, Sichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026092302","display_name":"Yadong Wu","orcid":"https://orcid.org/0000-0003-0919-9151"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Wu","raw_affiliation_strings":["Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011635668","display_name":"Lingli Zhang","orcid":"https://orcid.org/0000-0002-3961-4881"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Zhang","raw_affiliation_strings":["Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008533052","display_name":"Zhouqiao He","orcid":"https://orcid.org/0000-0001-7022-9212"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouqiao He","raw_affiliation_strings":["Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011913519","display_name":"Yu Qiu","orcid":"https://orcid.org/0000-0003-3043-1541"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qiu","raw_affiliation_strings":["Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University of Science and Engineering, China and \rSichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China","institution_ids":["https://openalex.org/I64852412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045620126"],"corresponding_institution_ids":["https://openalex.org/I64852412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13430861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7150026559829712},{"id":"https://openalex.org/keywords/premise","display_name":"Premise","score":0.6587579846382141},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5884755253791809},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.550662100315094},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5126132369041443},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45147764682769775},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4499550461769104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41083407402038574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38706907629966736},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3681248426437378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3441157937049866},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11771014332771301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11577537655830383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150026559829712},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.6587579846382141},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5884755253791809},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.550662100315094},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5126132369041443},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45147764682769775},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4499550461769104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41083407402038574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38706907629966736},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3681248426437378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3441157937049866},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11771014332771301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11577537655830383},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565291.3565313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8723491008","display_name":null,"funder_award_id":"2020RC20","funder_id":"https://openalex.org/F4320322947","funder_display_name":"Sichuan University of Science and Engineering"}],"funders":[{"id":"https://openalex.org/F4320322947","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2071128523","https://openalex.org/W2607656676","https://openalex.org/W2729222988","https://openalex.org/W2900032756","https://openalex.org/W2963819847","https://openalex.org/W2985020292","https://openalex.org/W2995561411","https://openalex.org/W2999548501","https://openalex.org/W3005806855","https://openalex.org/W3080832793","https://openalex.org/W3093562151","https://openalex.org/W3136474880","https://openalex.org/W3141898517","https://openalex.org/W3193702845","https://openalex.org/W3193979002","https://openalex.org/W3198522234","https://openalex.org/W3206388874","https://openalex.org/W3208612763","https://openalex.org/W3214066484","https://openalex.org/W4225984118","https://openalex.org/W4240888994","https://openalex.org/W4309625848","https://openalex.org/W6705432162"],"related_works":["https://openalex.org/W590788508","https://openalex.org/W4235873430","https://openalex.org/W2611974471","https://openalex.org/W4313233093","https://openalex.org/W2358082531","https://openalex.org/W2589976903","https://openalex.org/W2335596023","https://openalex.org/W2026719400","https://openalex.org/W2374273535","https://openalex.org/W1952244190"],"abstract_inverted_index":{"In":[0],"the":[1,9,18,40,52,67,78,85,94,100,113,117,134],"process":[2],"of":[3,20,42,46,73,81,89,102,138,140,146,149],"fluorine":[4,47,74,120],"material":[5],"research":[6],"and":[7,22,56,84,109,126,136],"development,":[8],"traditional":[10],"\"manual\"":[11],"analysis":[12,35,62,80,87,145],"method":[13,37,142],"can":[14],"no":[15],"longer":[16],"meet":[17],"needs":[19],"large":[21],"complex":[23],"high-dimensional":[24,82],"data":[25,41,83],"analysis.":[26],"This":[27],"paper":[28],"proposes":[29],"DecisionVis,":[30],"a":[31,58],"multi-attribute":[32,43,59,70,147],"correlation":[33,60,68,114],"visual":[34,61,79,86,144],"decision":[36,63],"based":[38],"on":[39],"influencing":[44,71,119],"factors":[45,72,118],"chemical":[48,75,121],"products,":[49],"which":[50],"supports":[51],"user":[53],"to":[54,65,111],"design":[55],"implement":[57],"system":[64,106],"explore":[66,112],"between":[69,116],"products":[76],"through":[77],"results":[88],"market":[90],"price":[91],"uncertainty":[92],"using":[93],"3D":[95],"parallel":[96],"coordinate":[97],"technology":[98],"with":[99,128],"premise":[101],"node":[103],"connection.":[104],"The":[105],"is":[107],"designed":[108],"implemented":[110],"relation-ship":[115],"products.":[122,151],"Finally,":[123],"case":[124],"studies":[125],"interviews":[127],"experts":[129],"from":[130],"fluorochemical":[131,150],"companies":[132],"demonstrate":[133],"effectiveness":[135],"ease":[137],"use":[139],"this":[141],"for":[143],"correlations":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
