{"id":"https://openalex.org/W2004354878","doi":"https://doi.org/10.1109/scis-isis.2012.6505282","title":"An integrated MCDM model for glamour stock selection","display_name":"An integrated MCDM model for glamour stock selection","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2004354878","doi":"https://doi.org/10.1109/scis-isis.2012.6505282","mag":"2004354878"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2012.6505282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2012.6505282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050133146","display_name":"Kao-Yi Shen","orcid":"https://orcid.org/0000-0001-6659-2684"},"institutions":[{"id":"https://openalex.org/I205612303","display_name":"Chinese Culture University","ror":"https://ror.org/04shepe48","country_code":"TW","type":"education","lineage":["https://openalex.org/I205612303"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kao-Yi Shen","raw_affiliation_strings":["Dept. of Banking and Finance, Chinese Culture University (SCE), Taipei, Taiwan","Department of Banking and Finance, Chinese culture University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Banking and Finance, Chinese Culture University (SCE), Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]},{"raw_affiliation_string":"Department of Banking and Finance, Chinese culture University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081533561","display_name":"Vivien Y. C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I25251306","display_name":"Yuanpei University","ror":"https://ror.org/02jb3jv25","country_code":"TW","type":"education","lineage":["https://openalex.org/I25251306"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vivien Y. C. Chen","raw_affiliation_strings":["Department of Apply Finance, Yuanpei University, Hsinchu 300, Taiwan","Departmaet of Apply Finance, Yuanpei University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Apply Finance, Yuanpei University, Hsinchu 300, Taiwan","institution_ids":["https://openalex.org/I25251306"]},{"raw_affiliation_string":"Departmaet of Apply Finance, Yuanpei University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25251306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046523549","display_name":"Gwo\u2010Hshiung Tzeng","orcid":"https://orcid.org/0000-0003-1856-7497"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I174748290","display_name":"Kainan University","ror":"https://ror.org/018p1hd91","country_code":"TW","type":"education","lineage":["https://openalex.org/I174748290"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Gwo-Hshiung Tzeng","raw_affiliation_strings":["Institute of Project Management, Kainan University, Taoyuan, Taiwan","Institute of MOT, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Project Management, Kainan University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I174748290"]},{"raw_affiliation_string":"Institute of MOT, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14086409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2070","last_page":"2075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9919000267982483,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9919000267982483,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9883000254631042,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9851999878883362,"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/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.7210765480995178},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.601329505443573},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.560478925704956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5460675954818726},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5132238864898682},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.44627201557159424},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4153573215007782},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.37796008586883545},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37415963411331177},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.36778438091278076},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2612608075141907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20934492349624634},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16346943378448486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15622276067733765},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13998845219612122}],"concepts":[{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.7210765480995178},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.601329505443573},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.560478925704956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5460675954818726},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5132238864898682},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.44627201557159424},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4153573215007782},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37796008586883545},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37415963411331177},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.36778438091278076},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2612608075141907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20934492349624634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16346943378448486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15622276067733765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13998845219612122},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scis-isis.2012.6505282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2012.6505282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W38708963","https://openalex.org/W194786220","https://openalex.org/W1967872601","https://openalex.org/W2001348044","https://openalex.org/W2020629756","https://openalex.org/W2044817329","https://openalex.org/W2065109455","https://openalex.org/W2091248771","https://openalex.org/W2097330971","https://openalex.org/W2099790406","https://openalex.org/W2150801635","https://openalex.org/W2168936936","https://openalex.org/W2173913116","https://openalex.org/W2329320632","https://openalex.org/W2499032062","https://openalex.org/W2506768821","https://openalex.org/W3124580969","https://openalex.org/W3125062974","https://openalex.org/W4210259099"],"related_works":["https://openalex.org/W2041949587","https://openalex.org/W3154161952","https://openalex.org/W2560304016","https://openalex.org/W2778781604","https://openalex.org/W4235219488","https://openalex.org/W1976617664","https://openalex.org/W1990851617","https://openalex.org/W3038608274","https://openalex.org/W3013738389","https://openalex.org/W2971180812"],"abstract_inverted_index":{"Stock":[0],"market":[1,172],"is":[2,9,45,65,107],"full":[3],"of":[4,75,87,120,194],"opportunity":[5],"and":[6,13,21,60,127],"uncertainty,":[7],"which":[8,44,52,190],"characterized":[10],"by":[11,124],"return":[12],"risk.":[14],"Investors":[15],"have":[16],"to":[17,23,97,141],"utilize":[18,37],"their":[19],"knowledge":[20],"experience":[22],"explore":[24],"the":[25,61,85,100,115,118,128,132,143,170,183,192,195],"available":[26,38],"information":[27,40,54,89],"for":[28,41,63,138,153,165],"selecting":[29],"stocks":[30,168],"with":[31,99,135,182],"good":[32],"prospects.":[33],"Investment":[34],"professionals":[35],"mainly":[36],"financial":[39,53,88,112],"making":[42,70,154],"evaluation,":[43],"often":[46],"termed":[47],"as":[48,173],"fundamental":[49],"analysis.":[50],"Nevertheless,":[51],"(variables/":[55],"criteria)":[56],"should":[57],"be":[58],"considered":[59],"way":[62],"analysis":[64],"still":[66],"inconclusive.":[67],"Furthermore,":[68],"while":[69],"comparison":[71],"among":[72],"a":[73],"group":[74],"stocks,":[76],"different":[77],"criteria":[78,121],"sometime":[79],"reveal":[80],"inconsistent":[81],"signals.":[82],"To":[83],"handle":[84],"complexity":[86],"analysis,":[90],"this":[91],"study":[92,160],"proposes":[93],"an":[94,110,162],"integrated":[95],"method":[96,106],"deal":[98],"glamour":[101],"stock":[102],"evaluation":[103],"problem.":[104],"The":[105,175],"based":[108,146],"on":[109,147],"examined":[111],"model.":[113],"In":[114],"first":[116],"stage,":[117],"weights":[119,134],"are":[122],"obtained":[123],"DANP":[125],"method,":[126],"second":[129],"stage":[130],"integrates":[131],"influential":[133,148],"expert's":[136],"assessment":[137],"each":[139],"criterion":[140],"complete":[142],"modified":[144],"TOPSIS":[145],"network":[149],"relation":[150],"map":[151],"(INRM)":[152],"decision":[155],"in":[156,169],"improvement":[157],"direction.":[158],"This":[159],"provides":[161],"empirical":[163],"case":[164],"5":[166,184],"real":[167],"Taiwan":[171],"example.":[174],"suggested":[176],"ranking":[177],"result":[178],"generated":[179],"high":[180],"correlation":[181],"stocks'":[185],"subsequent":[186],"holding":[187],"period":[188],"returns,":[189],"indicates":[191],"usefulness":[193],"proposed":[196],"method.":[197]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
