{"id":"https://openalex.org/W2542407750","doi":"https://doi.org/10.1109/ccis.2012.6664606","title":"A method of multiple-factors intelligence analysis application for C&lt;sup&gt;4&lt;/sup&gt;KISR system","display_name":"A method of multiple-factors intelligence analysis application for C&lt;sup&gt;4&lt;/sup&gt;KISR system","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2542407750","doi":"https://doi.org/10.1109/ccis.2012.6664606","mag":"2542407750"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2012.6664606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","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/A5101222162","display_name":"Xingfu Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingfu Xiao","raw_affiliation_strings":["Graduate University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112226329","display_name":"Hanbin Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbin Bai","raw_affiliation_strings":["Graduate University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114626554","display_name":"Zhanbin Zhang","orcid":"https://orcid.org/0009-0008-3825-0503"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanbin Zhang","raw_affiliation_strings":["Graduate University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101222162"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37606957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2010","issue":null,"first_page":"1353","last_page":"1356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9940999746322632,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9940999746322632,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9440000057220459,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.909600019454956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.8228573799133301},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.641258716583252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5707386136054993},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4648989737033844},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.44950070977211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42220544815063477},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39447224140167236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34081846475601196},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3273131847381592},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29640740156173706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2895743250846863},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.24539604783058167}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.8228573799133301},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.641258716583252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707386136054993},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4648989737033844},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.44950070977211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42220544815063477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39447224140167236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34081846475601196},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3273131847381592},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29640740156173706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2895743250846863},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.24539604783058167},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2012.6664606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1493987831","https://openalex.org/W3011865677"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2041949587","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W2958553423"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"uncertainties":[3],"in":[4,56],"multiple-factors":[5],"decision":[6,16,76],"making":[7,17,77],"problems":[8],"so":[9,59],"that":[10,60],"the":[11,21,57,61],"reliability":[12],"and":[13,23,51,68,90],"correctness":[14],"of":[15,26,63,93],"results":[18],"depend":[19],"on":[20,41,80],"scientifically":[22],"reasonably":[24],"confirmation":[25,95],"attribute":[27],"weights,":[28],"especially":[29],"for":[30,97],"C":[31],"<sup":[32],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[33],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">4</sup>":[34],"KISR":[35],"system.":[36],"Combination":[37],"assigning":[38,66,70],"method":[39,67,71,82,92,96],"based":[40,79],"optimal":[42],"eigenvectors":[43],"which":[44],"uses":[45],"multi-objective":[46],"optimization":[47],"to":[48,86],"integrate":[49],"subjective":[50,65],"objective":[52,69],"weightings":[53,94],"was":[54,83],"presented":[55],"study":[58],"limitations":[62],"both":[64],"have":[72],"been":[73],"overcome.":[74],"Furthermore,":[75],"model":[78],"TOPSIS":[81],"also":[84],"established":[85],"obtain":[87],"more":[88],"reasonable":[89],"scientific":[91],"Multi-factors":[98],"intelligence":[99],"analysis":[100],"problems.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}