{"id":"https://openalex.org/W2142765093","doi":"https://doi.org/10.1108/03684921211243275","title":"Hybrid grey multiple attribute decision\u2010making method with partial weight information","display_name":"Hybrid grey multiple attribute decision\u2010making method with partial weight information","publication_year":2012,"publication_date":"2012-06-08","ids":{"openalex":"https://openalex.org/W2142765093","doi":"https://doi.org/10.1108/03684921211243275","mag":"2142765093"},"language":"en","primary_location":{"id":"doi:10.1108/03684921211243275","is_oa":false,"landing_page_url":"https://doi.org/10.1108/03684921211243275","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","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/A5100674293","display_name":"Xiaoxin Chen","orcid":"https://orcid.org/0009-0009-0984-7500"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoxin Chen","raw_affiliation_strings":["School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","School of Statistics, JiangXi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"School of Statistics, JiangXi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100674293"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":0.3999,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69144348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"41","issue":"5/6","first_page":"611","last_page":"621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9983999729156494,"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":0.9983999729156494,"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/T12368","display_name":"Grey System Theory Applications","score":0.9768999814987183,"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/attribute-domain","display_name":"Attribute domain","score":0.634453296661377},{"id":"https://openalex.org/keywords/variable-and-attribute","display_name":"Variable and attribute","score":0.5973989367485046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5861678123474121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5723138451576233},{"id":"https://openalex.org/keywords/cybernetics","display_name":"Cybernetics","score":0.5512184500694275},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.48523545265197754},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.4409365653991699},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.377810537815094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3189730644226074},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.1758241057395935},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.16132795810699463},{"id":"https://openalex.org/keywords/business-decision-mapping","display_name":"Business decision mapping","score":0.09533461928367615}],"concepts":[{"id":"https://openalex.org/C75814411","wikidata":"https://www.wikidata.org/wiki/Q4818714","display_name":"Attribute domain","level":3,"score":0.634453296661377},{"id":"https://openalex.org/C12692103","wikidata":"https://www.wikidata.org/wiki/Q113312","display_name":"Variable and attribute","level":4,"score":0.5973989367485046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861678123474121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5723138451576233},{"id":"https://openalex.org/C115286129","wikidata":"https://www.wikidata.org/wiki/Q123637","display_name":"Cybernetics","level":2,"score":0.5512184500694275},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.48523545265197754},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.4409365653991699},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.377810537815094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3189730644226074},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.1758241057395935},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.16132795810699463},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.09533461928367615},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/03684921211243275","is_oa":false,"landing_page_url":"https://doi.org/10.1108/03684921211243275","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W194786220","https://openalex.org/W2026605718","https://openalex.org/W2029108891","https://openalex.org/W2096687521","https://openalex.org/W2104179665","https://openalex.org/W2109034551","https://openalex.org/W2114541394","https://openalex.org/W2117759566","https://openalex.org/W2120160105","https://openalex.org/W2154525907","https://openalex.org/W2361603566","https://openalex.org/W2375155328","https://openalex.org/W2376815801","https://openalex.org/W2377551054","https://openalex.org/W2380255152","https://openalex.org/W2506768821","https://openalex.org/W7011368246","https://openalex.org/W7067687863","https://openalex.org/W7067797920"],"related_works":["https://openalex.org/W2362911251","https://openalex.org/W2355009088","https://openalex.org/W2343536755","https://openalex.org/W2003220380","https://openalex.org/W2361652241","https://openalex.org/W2884866368","https://openalex.org/W2357538651","https://openalex.org/W1985171608","https://openalex.org/W2810548110","https://openalex.org/W2163616439"],"abstract_inverted_index":{"Abstract":[0],"Purpose":[1],"\u2013":[2,45,153,178,206],"The":[3,46,154,179,207],"purpose":[4],"of":[5,54,66,69,74,84,90,114,126,148,166,192,214],"this":[6],"paper":[7,184,208],"is":[8,48],"to":[9,11,118,139,188],"attempt":[10],"propose":[12],"a":[13],"method":[14,47,180],"based":[15,59,159,218],"on":[16,60,160,219],"evidential":[17,109,222],"reasoning":[18,110,223],"for":[19],"hybrid":[20,199,233],"grey":[21,39,57,169,193,200,234],"attribute":[22,27,35,71,195,202,236],"decision\u2010making":[23,237],"problems":[24,191],"where":[25],"the":[26,34,50,67,82,88,96,107,141,144,183,220,232],"weights":[28],"are":[29,37,122,131,137,226],"partially":[30],"known,":[31],"in":[32,81,182,210],"which":[33,130,225],"values":[36],"interval":[38,56,168],"numbers":[40],"and":[41,63,94,143,171,198,231],"linguistic":[42,120],"grades.":[43],"Design/methodology/approach":[44],"that":[49,157],"decision\u2010maker":[51,158],"gives":[52,164],"whitenization":[53,73,165],"each":[55,115,119,149,167],"number":[58,170],"their":[61],"preference":[62,163],"belief":[64,85,98,112],"structure":[65,86,99],"form":[68,83],"qualitative":[70],"values,":[72],"quantitative":[75],"attributes":[76],"can":[77,102,185],"be":[78,103,186],"equivalently":[79],"expressed":[80],"with":[87,190,239],"principle":[89],"utility":[91],"value":[92],"equivalence,":[93],"then":[95],"grade":[97,121],"decision":[100,196,203],"matrix":[101],"determined.":[104],"By":[105],"using":[106],"analytical":[108,221],"algorithm,":[111],"degrees":[113],"alternative":[116,174],"belonging":[117],"obtained.":[123],"Two":[124],"pairs":[125,213],"nonlinear":[127,215],"optimization":[128,216],"models":[129,217],"solved":[132,227],"by":[133,228],"genetic":[134,229],"algorithms":[135,230],"(GA)":[136],"constructed":[138],"compute":[140],"maximum":[142],"minimum":[145],"expected":[146],"utilities":[147],"alternative,":[150],"respectively.":[151],"Findings":[152],"results":[155],"show":[156],"his/her":[161],"risk":[162],"selects":[172],"corresponding":[173],"policy.":[175],"Practical":[176],"implications":[177],"exposed":[181],"used":[187],"deal":[189],"multiple":[194,201,235],"making":[197],"making.":[204],"Originality/value":[205],"succeeds":[209],"constructing":[211],"two":[212],"algorithm":[224],"approach":[238],"partial":[240],"weight":[241],"information.":[242]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}