{"id":"https://openalex.org/W2146502931","doi":"https://doi.org/10.1109/fuzzy.2008.4630473","title":"Extracting association rules based on intuitionistic fuzzy special sets","display_name":"Extracting association rules based on intuitionistic fuzzy special sets","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2146502931","doi":"https://doi.org/10.1109/fuzzy.2008.4630473","mag":"2146502931"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","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/A5046280013","display_name":"Zheng Pei","orcid":"https://orcid.org/0000-0001-5757-6607"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Pei","raw_affiliation_strings":["School of Mathematics & Computer Engineering, Xihua University, Cheng, China","Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu"],"affiliations":[{"raw_affiliation_string":"School of Mathematics & Computer Engineering, Xihua University, Cheng, China","institution_ids":["https://openalex.org/I102345215"]},{"raw_affiliation_string":"Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046280013"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":2.5379,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92044089,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"873","last_page":"878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9815999865531921,"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":0.5988845825195312},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.592024564743042},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5003571510314941},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4479408860206604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4441315233707428},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4132535457611084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38685619831085205},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.057210952043533325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5988845825195312},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.592024564743042},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5003571510314941},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4479408860206604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4441315233707428},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4132535457611084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38685619831085205},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.057210952043533325},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1576481927","https://openalex.org/W1585646276","https://openalex.org/W1607553966","https://openalex.org/W1612469828","https://openalex.org/W1974458968","https://openalex.org/W1979296092","https://openalex.org/W2007805591","https://openalex.org/W2039791408","https://openalex.org/W2051508823","https://openalex.org/W2062069905","https://openalex.org/W2066771339","https://openalex.org/W2075327320","https://openalex.org/W2079767857","https://openalex.org/W2087501680","https://openalex.org/W2111358144","https://openalex.org/W2148287152","https://openalex.org/W2166559705","https://openalex.org/W2570343052","https://openalex.org/W6628750762","https://openalex.org/W6635226022","https://openalex.org/W6636361139"],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560"],"abstract_inverted_index":{"Intuitionistic":[0],"fuzzy":[1,10,25],"special":[2,6,26],"sets":[3,27],"is":[4,41,66,97],"a":[5],"case":[7],"of":[8,18,29,34,49,62],"intuitionistic":[9,24],"sets.":[11],"In":[12],"this":[13,94],"paper,":[14],"under":[15],"the":[16,23,47,63,85],"framework":[17],"information":[19,78],"systems,":[20],"based":[21],"on":[22],"representation":[28],"rough":[30],"sets,":[31],"Hamming":[32,44,89],"distance":[33,45],"association":[35,50,56,75,82,103],"rule":[36,57,76],"between":[37],"condition":[38],"and":[39,46,80],"conclusion":[40],"discussed.":[42],"By":[43],"confidence":[48,87],"rule,":[51],"optimization":[52,64],"model":[53,65],"for":[54,101],"extracting":[55,102],"are":[58],"provided.":[59],"The":[60],"advantage":[61],"that":[67,93],"it":[68],"could":[69],"be":[70],"used":[71],"to":[72],"dynamically":[73],"extract":[74],"from":[77],"systems":[79],"distinguish":[81],"rules":[83],"with":[84],"same":[86],"by":[88],"distance.":[90],"Example":[91],"shows":[92],"paper\u2019s":[95],"method":[96,100],"an":[98],"alternative":[99],"rule.":[104]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
