{"id":"https://openalex.org/W2174011557","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337883","title":"Induction of quantified fuzzy rules with Particle Swarm Optimisation","display_name":"Induction of quantified fuzzy rules with Particle Swarm Optimisation","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2174011557","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337883","mag":"2174011557"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5032375511","display_name":"Tianhua Chen","orcid":"https://orcid.org/0000-0003-4495-1871"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Tianhua Chen","raw_affiliation_strings":["Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036010787","display_name":"Qiang Shen","orcid":"https://orcid.org/0000-0001-9333-4605"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101760424","display_name":"Pan Su","orcid":"https://orcid.org/0000-0001-7133-3863"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pan Su","raw_affiliation_strings":["Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039652471","display_name":"Changjing Shang","orcid":"https://orcid.org/0000-0001-6375-6276"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Changjing Shang","raw_affiliation_strings":["Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Institute of Mathematics, Physics and Computer Science Aberystwyth University, UK","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032375511"],"corresponding_institution_ids":["https://openalex.org/I16038530"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76575778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9843000173568726,"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/T10320","display_name":"Neural Networks and Applications","score":0.9789999723434448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6472486257553101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6442543864250183},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.618226170539856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129087209701538},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5800303220748901},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5562872886657715},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5553911924362183},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5076056718826294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5067833065986633},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.48142215609550476},{"id":"https://openalex.org/keywords/fuzzy-associative-matrix","display_name":"Fuzzy associative matrix","score":0.467974454164505},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.44386738538742065},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.41395553946495056},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.39994004368782043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3789213299751282},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.36975035071372986}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6472486257553101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6442543864250183},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.618226170539856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129087209701538},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5800303220748901},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5562872886657715},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5553911924362183},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5076056718826294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5067833065986633},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.48142215609550476},{"id":"https://openalex.org/C144170203","wikidata":"https://www.wikidata.org/wiki/Q5511099","display_name":"Fuzzy associative matrix","level":5,"score":0.467974454164505},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.44386738538742065},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.41395553946495056},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.39994004368782043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3789213299751282},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.36975035071372986},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7337883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W22165274","https://openalex.org/W185651903","https://openalex.org/W1540287190","https://openalex.org/W1543320899","https://openalex.org/W1635923105","https://openalex.org/W1968853783","https://openalex.org/W1978515644","https://openalex.org/W1999138184","https://openalex.org/W2003085167","https://openalex.org/W2011101028","https://openalex.org/W2016461138","https://openalex.org/W2020538533","https://openalex.org/W2025174946","https://openalex.org/W2051611225","https://openalex.org/W2066393173","https://openalex.org/W2068283474","https://openalex.org/W2086863053","https://openalex.org/W2089939419","https://openalex.org/W2096106305","https://openalex.org/W2109240574","https://openalex.org/W2128669740","https://openalex.org/W2135423934","https://openalex.org/W2140208274","https://openalex.org/W2148168003","https://openalex.org/W2152195021","https://openalex.org/W2168401721","https://openalex.org/W2168998349","https://openalex.org/W2187164964","https://openalex.org/W2309813571","https://openalex.org/W3120740533","https://openalex.org/W4234872946","https://openalex.org/W6607528957","https://openalex.org/W6632659584"],"related_works":["https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W2184441312","https://openalex.org/W1952396636","https://openalex.org/W85606319","https://openalex.org/W173448675","https://openalex.org/W116041356","https://openalex.org/W2148346439","https://openalex.org/W1980652001","https://openalex.org/W2130902926"],"abstract_inverted_index":{"The":[0,75],"use":[1],"of":[2,27,43,65,77],"fuzzy":[3,8,12,16,44,80,85,125],"quantifiers":[4,86],"to":[5,97,121,132],"modify":[6],"the":[7,31,41,78,112,133],"linguistic":[9],"terms":[10],"in":[11,18,30,95],"models":[13],"helps":[14],"build":[15],"systems":[17],"a":[19,37,51,63],"more":[20],"natural":[21],"way,":[22],"by":[23,71,111],"capturing":[24],"finer":[25],"pieces":[26],"information":[28],"embedded":[29],"training":[32],"data.":[33],"This":[34],"paper":[35],"presents":[36],"practical":[38],"approach":[39,114],"for":[40],"acquisition":[42],"production":[45],"rules":[46,81],"with":[47,62,82,127],"quantifiers,":[48,126],"based":[49,101],"on":[50,89],"class-dependent":[52],"simultaneous":[53],"rule":[54,100,108],"learning":[55,102,135],"strategy":[56],"where":[57],"each":[58],"class":[59],"is":[60,69,87],"associated":[61],"subset":[64],"descriptive":[66],"rules.":[67],"It":[68],"implemented":[70],"particle":[72],"swam":[73],"optimisation.":[74],"performance":[76,118,131],"learned":[79],"and":[83],"without":[84],"evaluated":[88],"various":[90],"UCI":[91],"benchmark":[92],"data":[93],"sets,":[94],"comparison":[96],"popular":[98],"alternative":[99,134],"classifiers.":[103,136],"Experimental":[104],"results":[105],"demonstrate":[106],"that":[107],"bases":[109],"generated":[110],"proposed":[113],"indeed":[115],"boost":[116],"classification":[117],"as":[119],"compared":[120],"those":[122],"involving":[123],"no":[124],"at":[128],"least":[129],"competitive":[130]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}