{"id":"https://openalex.org/W2245364275","doi":"https://doi.org/10.1109/fskd.2015.7381919","title":"Learning fuzzy cognitive maps using decomposed parallel ant colony algorithm and gradient descent","display_name":"Learning fuzzy cognitive maps using decomposed parallel ant colony algorithm and gradient descent","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2245364275","doi":"https://doi.org/10.1109/fskd.2015.7381919","mag":"2245364275"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7381919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7381919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5100608125","display_name":"Nan Ye","orcid":"https://orcid.org/0000-0002-4689-3559"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nan Ye","raw_affiliation_strings":["State Grid Zhejiang Electric Power Company Ningbo Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Company Ningbo Power Supply Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659413","display_name":"Rongwei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rongwei Zhang","raw_affiliation_strings":["State Grid Zhejiang Electric Power Company Ningbo Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Company Ningbo Power Supply Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064971277","display_name":"Kena Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kena Yu","raw_affiliation_strings":["Ningbo Lijian Transportation Infrastructure and Project Company, China"],"affiliations":[{"raw_affiliation_string":"Ningbo Lijian Transportation Infrastructure and Project Company, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039835717","display_name":"Dehong Wang","orcid":"https://orcid.org/0000-0002-4157-1841"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dehong Wang","raw_affiliation_strings":["State Grid Zhejiang Electric Power Company Ningbo Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Company Ningbo Power Supply Company, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100608125"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8629,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83002927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9135000109672546,"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/speedup","display_name":"Speedup","score":0.7205482125282288},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6889815330505371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6856537461280823},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.641477644443512},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5303875803947449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4897425174713135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4151736795902252},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41140782833099365},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.38901644945144653},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.31070050597190857},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.13953837752342224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11094161868095398},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.07157880067825317}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7205482125282288},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6889815330505371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6856537461280823},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.641477644443512},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5303875803947449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4897425174713135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4151736795902252},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41140782833099365},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.38901644945144653},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.31070050597190857},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.13953837752342224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11094161868095398},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.07157880067825317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7381919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7381919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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":18,"referenced_works":["https://openalex.org/W1578549529","https://openalex.org/W1967034721","https://openalex.org/W1977188739","https://openalex.org/W1992813219","https://openalex.org/W2017731388","https://openalex.org/W2027226970","https://openalex.org/W2034669994","https://openalex.org/W2036990940","https://openalex.org/W2066031679","https://openalex.org/W2069178824","https://openalex.org/W2081943952","https://openalex.org/W2095224843","https://openalex.org/W2106419457","https://openalex.org/W2122708083","https://openalex.org/W2122879929","https://openalex.org/W2137947700","https://openalex.org/W2919967227","https://openalex.org/W6644514319"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"Fuzzy":[0],"cognitive":[1],"maps":[2],"(FCMs)":[3],"are":[4,132],"a":[5,86,100],"model":[6,39,160],"for":[7],"causal":[8,11,20],"modeling":[9],"and":[10,18,99,129,142,176],"inference.":[12],"It":[13],"represents":[14],"the":[15,19,23,33,38,44,47,76,79,123,126,130,154,165,170,177,182,188],"real-world":[16],"concepts":[17,24],"relations":[21],"between":[22],"by":[25,169],"using":[26],"fuzzy":[27,34],"variables.":[28],"The":[29],"major":[30],"benefit":[31],"of":[32,78,115,125,159,184],"variables":[35],"is":[36,40,61,119,186],"that":[37,89,150],"more":[41],"robust":[42],"to":[43,66,105,121,134,194],"errors":[45],"in":[46,56,157],"observed":[48],"data.":[49,112],"Although":[50],"FCMs":[51,109],"have":[52],"been":[53],"widely":[54],"used":[55,120],"different":[57],"research":[58],"areas,":[59],"it":[60],"still":[62],"an":[63],"open":[64],"problem":[65,118],"efficiently":[67],"construct":[68],"large":[69,107],"scale":[70,108],"FCM":[71,81],"models.":[72],"To":[73],"further":[74],"improve":[75],"efficiency":[77],"existing":[80],"learning":[82],"algorithms,":[83],"we":[84],"propose":[85],"new":[87],"algorithm":[88,128,152,175],"combines":[90],"ant":[91,139,172],"colony":[92,140,173],"optimization":[93,174],"algorithm,":[94],"gradient":[95],"descent":[96],"local":[97],"search":[98],"decomposed":[101],"parallel":[102,179],"computing":[103],"framework":[104],"build":[106],"from":[110],"observational":[111],"A":[113],"set":[114],"network":[116],"inference":[117],"evaluate":[122],"performance":[124],"proposed":[127,178],"results":[131,148],"compared":[133,164],"other":[135,155],"algorithms":[136,156],"including":[137],"traditional":[138],"optimization,":[141],"real":[143],"coded":[144],"genetic":[145],"algorithms.":[146],"Experimental":[147],"suggest":[149],"our":[151],"outperforms":[153],"terms":[158],"accuracy.":[161],"We":[162],"also":[163],"computation":[166],"time":[167],"required":[168],"non-parallel":[171],"algorithm.":[180],"When":[181],"number":[183],"nodes":[185],"appropriate,":[187],"speedup":[189],"could":[190],"be":[191],"very":[192],"close":[193],"linear":[195],"speedup.":[196]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
