{"id":"https://openalex.org/W2037903361","doi":"https://doi.org/10.1080/10798587.1998.10750727","title":"Compensatory FDNF-FCNF Neurofuzzy Systems For Fuzzy Games","display_name":"Compensatory FDNF-FCNF Neurofuzzy Systems For Fuzzy Games","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2037903361","doi":"https://doi.org/10.1080/10798587.1998.10750727","mag":"2037903361"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.1998.10750727","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.1998.10750727","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","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/A5100612105","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0003-2349-1925"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan-Qing Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108196712","display_name":"Abraham Kandel","orcid":"https://orcid.org/0009-0002-9276-6566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abraham Kandel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13331415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"2","first_page":"131","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9975000023841858,"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":0.9564999938011169,"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/computer-science","display_name":"Computer science","score":0.8741416931152344},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.55796879529953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.423667848110199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8741416931152344},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.55796879529953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.423667848110199}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.1998.10750727","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.1998.10750727","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1481581329","https://openalex.org/W1518305121","https://openalex.org/W1581076153","https://openalex.org/W1716095919","https://openalex.org/W1769711052","https://openalex.org/W1909458618","https://openalex.org/W1928034604","https://openalex.org/W1969191437","https://openalex.org/W1996091279","https://openalex.org/W2000073162","https://openalex.org/W2009163533","https://openalex.org/W2015701733","https://openalex.org/W2019207321","https://openalex.org/W2064666900","https://openalex.org/W2068402605","https://openalex.org/W2073258676","https://openalex.org/W2087656541","https://openalex.org/W2090108349","https://openalex.org/W2098783592","https://openalex.org/W2120482025","https://openalex.org/W2130030409","https://openalex.org/W2144534900","https://openalex.org/W2156060469","https://openalex.org/W4206174328","https://openalex.org/W4256027034","https://openalex.org/W6603403065","https://openalex.org/W6628747387","https://openalex.org/W6637552613"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"ABSTRACTIn":[0],"this":[1],"paper,":[2],"a":[3,75,82,86],"new":[4],"adaptive":[5,51],"fuzzy":[6,23,33,38,44,52,69,93],"reasoning":[7,53],"technique":[8],"using":[9,30,55],"compensatory":[10,18,26,57,111],"DNF-CNF":[11],"operations":[12],"is":[13,115],"proposed":[14],"according":[15],"to":[16,66,85],"the":[17,31,36,50,56,68,97,106,110,120],"principle":[19],"and":[20,35,89],"interval":[21],"valued":[22],"sets.":[24],"The":[25],"FDNF-FCNF":[27,112],"neurofuzzy":[28],"system":[29,61],"control-oriented":[32],"neurons":[34,39],"decision-oriented":[37],"can":[40,62],"not":[41],"only":[42],"adjust":[43],"membership":[45],"functions":[46],"but":[47],"also":[48],"optimize":[49],"by":[54],"learning":[58,113],"algorithm.":[59,123],"This":[60],"effectively":[63],"be":[64],"used":[65],"learn":[67],"rules":[70],"of":[71,109,119],"two":[72],"players":[73],"in":[74],"game":[76,84],"from":[77],"given":[78],"data,":[79],"then":[80],"transforms":[81],"local":[83],"global":[87,98],"game,":[88],"finally":[90],"makes":[91],"better":[92],"moves":[94],"based":[95],"on":[96],"game.":[99],"In":[100],"addition,":[101],"simulations":[102],"have":[103],"indicated":[104],"that":[105,118],"convergence":[107],"speed":[108],"algorithm":[114],"faster":[116],"than":[117],"conventional":[121],"backpropagation":[122]},"counts_by_year":[],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
