{"id":"https://openalex.org/W1630961089","doi":"https://doi.org/10.1109/nafips-wconsc.2015.7284135","title":"Computing With Words in fuzzy cognitive maps","display_name":"Computing With Words in fuzzy cognitive maps","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1630961089","doi":"https://doi.org/10.1109/nafips-wconsc.2015.7284135","mag":"1630961089"},"language":"en","primary_location":{"id":"doi:10.1109/nafips-wconsc.2015.7284135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips-wconsc.2015.7284135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC)","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/A5006393144","display_name":"John T. Rickard","orcid":"https://orcid.org/0000-0001-5765-3094"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John T. Rickard","raw_affiliation_strings":["Till Capital, Ltd, Larkspur, CO, USA","Till Capital, Ltd., Larkspur, CO USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Till Capital, Ltd, Larkspur, CO, USA","institution_ids":[]},{"raw_affiliation_string":"Till Capital, Ltd., Larkspur, CO USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056795894","display_name":"Janet Aisbett","orcid":"https://orcid.org/0000-0001-5960-3330"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Janet Aisbett","raw_affiliation_strings":["The University of Newcastle, Callaghan, NSW, Australia","The University of Newcastle, Callaghan NSW, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]},{"raw_affiliation_string":"The University of Newcastle, Callaghan NSW, Australia#TAB#","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072431554","display_name":"Ronald R. Yager","orcid":"https://orcid.org/0000-0003-2938-1858"},"institutions":[{"id":"https://openalex.org/I173466955","display_name":"Iona College","ror":"https://ror.org/00m79dm66","country_code":"US","type":"education","lineage":["https://openalex.org/I173466955"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald R. Yager","raw_affiliation_strings":["Iona College, Machine Intelligence Institute, New Rochelle, NY, USA","Machine Intelligence Institute , Iona College, New Rochelle, NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iona College, Machine Intelligence Institute, New Rochelle, NY, USA","institution_ids":["https://openalex.org/I173466955"]},{"raw_affiliation_string":"Machine Intelligence Institute , Iona College, New Rochelle, NY, USA#TAB#","institution_ids":["https://openalex.org/I173466955"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7807,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88217599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"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":0.9782999753952026,"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/computer-science","display_name":"Computer science","score":0.6619452834129333},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.645106315612793},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6289134621620178},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5328778624534607},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4899519979953766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4770200252532959},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43979787826538086},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43076929450035095},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.42863741517066956},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.40718215703964233},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3896086812019348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26794153451919556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619452834129333},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.645106315612793},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6289134621620178},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5328778624534607},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4899519979953766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4770200252532959},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43979787826538086},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43076929450035095},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.42863741517066956},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.40718215703964233},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3896086812019348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26794153451919556},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nafips-wconsc.2015.7284135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips-wconsc.2015.7284135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W42042914","https://openalex.org/W1545331636","https://openalex.org/W1995145426","https://openalex.org/W1999592790","https://openalex.org/W2000171511","https://openalex.org/W2006653518","https://openalex.org/W2009815191","https://openalex.org/W2033012397","https://openalex.org/W2047835801","https://openalex.org/W2056358437","https://openalex.org/W2069178824","https://openalex.org/W2070616933","https://openalex.org/W2085223193","https://openalex.org/W2086373410","https://openalex.org/W2092394555","https://openalex.org/W2095224843","https://openalex.org/W2111628113","https://openalex.org/W2117079902","https://openalex.org/W2117501337","https://openalex.org/W2120485901","https://openalex.org/W2126970740","https://openalex.org/W2130902850","https://openalex.org/W2135460682","https://openalex.org/W2143459909","https://openalex.org/W2146166096","https://openalex.org/W2146886933","https://openalex.org/W2151614844","https://openalex.org/W2476718972","https://openalex.org/W2622105632","https://openalex.org/W4247749894"],"related_works":["https://openalex.org/W2958504382","https://openalex.org/W992602349","https://openalex.org/W2125077478","https://openalex.org/W2098767154","https://openalex.org/W2173034867","https://openalex.org/W2148467997","https://openalex.org/W3184766525","https://openalex.org/W1975773326","https://openalex.org/W2151304448","https://openalex.org/W2169665448"],"abstract_inverted_index":{"We":[0,79],"extend":[1],"our":[2],"previously":[3],"proposed":[4],"new":[5,88],"structure":[6,47],"for":[7,66],"fuzzy":[8,39],"cognitive":[9],"maps":[10],"(FCM)":[11],"using":[12,36],"the":[13,20,67,76,105,109],"weighted":[14],"power":[15],"mean":[16],"(WPM)":[17],"operator":[18],"to":[19,53,64,85],"domain":[21],"of":[22,72,75,99,108],"Computing":[23],"With":[24],"Words":[25],"(CWW),":[26],"where":[27],"all":[28],"node":[29],"activations":[30],"and":[31,51,90],"link":[32],"strengths":[33],"are":[34],"described":[35],"interval":[37],"type-2":[38],"membership":[40],"functions":[41],"which":[42],"represent":[43],"words.":[44],"This":[45],"FCM":[46,57],"is":[48,70],"both":[49],"intuitive":[50],"easier":[52],"specify":[54],"than":[55],"crisp":[56],"structures,":[58],"as":[59],"it":[60],"allows":[61],"human":[62],"experts":[63],"account":[65],"imprecision":[68],"that":[69],"typical":[71],"their":[73],"judgments":[74],"network":[77],"parameters.":[78],"describe":[80],"a":[81,97],"computationally":[82],"feasible":[83],"approach":[84],"implementing":[86],"this":[87],"FCM,":[89],"provide":[91],"examples":[92],"illustrating":[93],"its":[94,100],"behavior,":[95],"including":[96],"comparison":[98],"converged":[101,106],"word":[102],"states":[103,107],"with":[104],"corresponding":[110],"scalar":[111],"version.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
