{"id":"https://openalex.org/W1977070745","doi":"https://doi.org/10.1142/s1469026809002679","title":"FUZZY OPERATOR TREES FOR MODELING RATING FUNCTIONS","display_name":"FUZZY OPERATOR TREES FOR MODELING RATING FUNCTIONS","publication_year":2009,"publication_date":"2009-11-17","ids":{"openalex":"https://openalex.org/W1977070745","doi":"https://doi.org/10.1142/s1469026809002679","mag":"1977070745"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026809002679","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026809002679","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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/A5100518724","display_name":"Yi Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I161103922","display_name":"Philipps University of Marburg","ror":"https://ror.org/01rdrb571","country_code":"DE","type":"education","lineage":["https://openalex.org/I161103922"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"YU YI","raw_affiliation_strings":["Philipps-Universit\u00e4t Marburg, Mathematics and Computer Science Department, 35032 Marburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philipps-Universit\u00e4t Marburg, Mathematics and Computer Science Department, 35032 Marburg, Germany","institution_ids":["https://openalex.org/I161103922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019483146","display_name":"Thomas Fober","orcid":null},"institutions":[{"id":"https://openalex.org/I161103922","display_name":"Philipps University of Marburg","ror":"https://ror.org/01rdrb571","country_code":"DE","type":"education","lineage":["https://openalex.org/I161103922"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"THOMAS FOBER","raw_affiliation_strings":["Philipps-Universit\u00e4t Marburg, Mathematics and Computer Science Department, 35032 Marburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philipps-Universit\u00e4t Marburg, Mathematics and Computer Science Department, 35032 Marburg, Germany","institution_ids":["https://openalex.org/I161103922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059439673","display_name":"Eyke H\u00fcllermeier","orcid":"https://orcid.org/0000-0002-9944-4108"},"institutions":[{"id":"https://openalex.org/I161103922","display_name":"Philipps University of Marburg","ror":"https://ror.org/01rdrb571","country_code":"DE","type":"education","lineage":["https://openalex.org/I161103922"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"EYKE H\u00dcLLERMEIER","raw_affiliation_strings":["Philipps-Universit\u00e4t Marburg, Mathematics and Computer Science Department, 35032 Marburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philipps-Universit\u00e4t Marburg, Mathematics and Computer Science Department, 35032 Marburg, Germany","institution_ids":["https://openalex.org/I161103922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161103922"],"apc_list":null,"apc_paid":null,"fwci":3.1089,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91676662,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"08","issue":"04","first_page":"413","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980999827384949,"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":0.9980999827384949,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9947999715805054,"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":0.865323543548584},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.7080166339874268},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6218277812004089},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5903505086898804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5394137501716614},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5357508063316345},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5034989714622498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5019497871398926},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4894050657749176},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45212531089782715},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.44718611240386963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11480942368507385},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0730786919593811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.865323543548584},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.7080166339874268},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6218277812004089},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5903505086898804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5394137501716614},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5357508063316345},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5034989714622498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5019497871398926},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4894050657749176},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45212531089782715},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.44718611240386963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11480942368507385},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0730786919593811},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s1469026809002679","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026809002679","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.320.6604","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.320.6604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.uni-marburg.de/fb12/kebi/people/tomsfolder/paper/ijcia09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W120878463","https://openalex.org/W173895910","https://openalex.org/W189366404","https://openalex.org/W791483682","https://openalex.org/W1485625483","https://openalex.org/W1486021001","https://openalex.org/W1501279388","https://openalex.org/W1504694836","https://openalex.org/W1515119244","https://openalex.org/W1536559965","https://openalex.org/W1547618122","https://openalex.org/W1570448133","https://openalex.org/W1576660662","https://openalex.org/W1606108510","https://openalex.org/W1670263352","https://openalex.org/W1981177511","https://openalex.org/W1983424777","https://openalex.org/W2017462139","https://openalex.org/W2019207321","https://openalex.org/W2025604780","https://openalex.org/W2025632392","https://openalex.org/W2035171979","https://openalex.org/W2038084659","https://openalex.org/W2055879680","https://openalex.org/W2060907774","https://openalex.org/W2082550766","https://openalex.org/W2109104903","https://openalex.org/W2124766374","https://openalex.org/W2125055259","https://openalex.org/W2127772210","https://openalex.org/W2144846366","https://openalex.org/W2164429865","https://openalex.org/W2168936936","https://openalex.org/W2209309859","https://openalex.org/W2331890423","https://openalex.org/W2341865734","https://openalex.org/W2346443999","https://openalex.org/W2565405834","https://openalex.org/W3146863510","https://openalex.org/W4254041307"],"related_works":["https://openalex.org/W2114770238","https://openalex.org/W2365607528","https://openalex.org/W2046724649","https://openalex.org/W2555586164","https://openalex.org/W1499374895","https://openalex.org/W2043347519","https://openalex.org/W2365102679","https://openalex.org/W2766992247","https://openalex.org/W2382169280","https://openalex.org/W2026827584"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,23,27,35,85,96,112],"new":[3],"method":[4,64],"for":[5,65],"modeling":[6],"rating":[7,36],"(utility)":[8],"functions":[9],"which":[10],"employs":[11],"techniques":[12],"from":[13,55,95],"fuzzy":[14,28],"set":[15,87],"theory.":[16],"The":[17,78,102],"main":[18],"idea":[19],"is":[20,107],"to":[21,41,75,80,84],"build":[22],"hierarchical":[24],"model,":[25],"called":[26],"operator":[29],"tree":[30],"(FOT),":[31],"by":[32,48,109],"recursively":[33],"decomposing":[34],"criterion":[37],"into":[38],"sub-criteria,":[39],"and":[40],"combine":[42],"the":[43,56,70,91,105],"evaluations":[44],"of":[45,50,72,88,100,104,111],"these":[46],"sub-criteria":[47],"means":[49,110],"suitable":[51,113],"aggregation":[52],"operators.":[53],"Apart":[54],"model":[57,66],"conception":[58],"itself,":[59],"we":[60],"propose":[61],"an":[62,73,82],"evolutionary":[63],"calibration":[67],"that":[68],"fits":[69],"parameters":[71],"FOT":[74,83],"exemplary":[76],"ratings.":[77],"possibility":[79],"adapt":[81],"given":[86],"data":[89],"makes":[90],"approach":[92,106],"also":[93],"interesting":[94],"machine":[97],"learning":[98],"point":[99],"view.":[101],"performance":[103],"evaluated":[108],"experimental":[114],"study.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}