{"id":"https://openalex.org/W7168079257","doi":"https://doi.org/10.1007/978-981-92-3447-9_21","title":"A Fuzzy Multi-period Network DEA Portfolio Model with Deep Learning Multi-factor Stock Selection Method","display_name":"A Fuzzy Multi-period Network DEA Portfolio Model with Deep Learning Multi-factor Stock Selection Method","publication_year":2026,"publication_date":"2026-07-12","ids":{"openalex":"https://openalex.org/W7168079257","doi":"https://doi.org/10.1007/978-981-92-3447-9_21"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3447-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3447-9_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5084934174","display_name":"Qiansheng Zhang","orcid":"https://orcid.org/0000-0001-5545-3726"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiansheng Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, 510006, China"],"raw_orcid":"https://orcid.org/0000-0001-5545-3726","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024598853","display_name":"Junhui Huang","orcid":"https://orcid.org/0000-0003-0456-309X"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinbin Huang","raw_affiliation_strings":["School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, 510006, China"],"raw_orcid":"https://orcid.org/0000-0003-0456-309X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024598853"],"corresponding_institution_ids":["https://openalex.org/I186272606"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.8456000089645386,"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/T10357","display_name":"Efficiency Analysis Using DEA","score":0.8456000089645386,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.02199999988079071,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.0210999995470047,"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/portfolio","display_name":"Portfolio","score":0.7002999782562256},{"id":"https://openalex.org/keywords/portfolio-optimization","display_name":"Portfolio optimization","score":0.6656000018119812},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4668999910354614},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.4408000111579895},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.4307999908924103},{"id":"https://openalex.org/keywords/portfolio-investment","display_name":"Portfolio investment","score":0.4056999981403351},{"id":"https://openalex.org/keywords/black\u2013litterman-model","display_name":"Black\u2013Litterman model","score":0.38100001215934753},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3709000051021576},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.36480000615119934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7892000079154968},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.7002999782562256},{"id":"https://openalex.org/C202655437","wikidata":"https://www.wikidata.org/wiki/Q7231728","display_name":"Portfolio optimization","level":3,"score":0.6656000018119812},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4668999910354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45980000495910645},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.4408000111579895},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C75956513","wikidata":"https://www.wikidata.org/wiki/Q609343","display_name":"Portfolio investment","level":3,"score":0.4056999981403351},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C77913304","wikidata":"https://www.wikidata.org/wiki/Q879967","display_name":"Black\u2013Litterman model","level":5,"score":0.38100001215934753},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3709000051021576},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C67051015","wikidata":"https://www.wikidata.org/wiki/Q7233558","display_name":"Post-modern portfolio theory","level":5,"score":0.351500004529953},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C9725762","wikidata":"https://www.wikidata.org/wiki/Q1072885","display_name":"Modern portfolio theory","level":3,"score":0.335999995470047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3124000132083893},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.2987000048160553},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C2776719154","wikidata":"https://www.wikidata.org/wiki/Q1094965","display_name":"Downside risk","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C74510933","wikidata":"https://www.wikidata.org/wiki/Q1936145","display_name":"Project portfolio management","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C21099588","wikidata":"https://www.wikidata.org/wiki/Q7314068","display_name":"Replicating portfolio","level":4,"score":0.28610000014305115},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C139819358","wikidata":"https://www.wikidata.org/wiki/Q462748","display_name":"Asset allocation","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2703999876976013},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C88389905","wikidata":"https://www.wikidata.org/wiki/Q223371","display_name":"Stock market index","level":4,"score":0.25380000472068787},{"id":"https://openalex.org/C73938075","wikidata":"https://www.wikidata.org/wiki/Q2858767","display_name":"Application portfolio management","level":4,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3447-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3447-9_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1995629675","https://openalex.org/W2066068791","https://openalex.org/W2589590889","https://openalex.org/W2790357409","https://openalex.org/W3003916820","https://openalex.org/W3026728987","https://openalex.org/W3132993214","https://openalex.org/W3157739347","https://openalex.org/W3196692092","https://openalex.org/W3211813675","https://openalex.org/W3213165424","https://openalex.org/W4311484994","https://openalex.org/W4387492286","https://openalex.org/W4389055484","https://openalex.org/W4401248664","https://openalex.org/W4410581006","https://openalex.org/W4410831007","https://openalex.org/W4411975949","https://openalex.org/W4413275423","https://openalex.org/W4415402330","https://openalex.org/W7081935591","https://openalex.org/W7083439949"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-13T00:00:00"}