{"id":"https://openalex.org/W2169795941","doi":"https://doi.org/10.3233/ifs-151840","title":"Calculation of the fuzzy importance of attributes based on the correlation coefficient, applied to the quality of hotel services","display_name":"Calculation of the fuzzy importance of attributes based on the correlation coefficient, applied to the quality of hotel services","publication_year":2015,"publication_date":"2015-08-31","ids":{"openalex":"https://openalex.org/W2169795941","doi":"https://doi.org/10.3233/ifs-151840","mag":"2169795941"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-151840","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151840","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5087028195","display_name":"Adrian I. Ban","orcid":"https://orcid.org/0000-0002-0482-4504"},"institutions":[{"id":"https://openalex.org/I162871001","display_name":"University of Oradea","ror":"https://ror.org/00wzhv093","country_code":"RO","type":"education","lineage":["https://openalex.org/I162871001"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Adrian I. Ban","raw_affiliation_strings":["Department of Mathematics and Informatics, University of Oradea, Universit\u0103\u0163ii 1, Oradea, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Informatics, University of Oradea, Universit\u0103\u0163ii 1, Oradea, Romania","institution_ids":["https://openalex.org/I162871001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069077031","display_name":"Olimpia Ban","orcid":"https://orcid.org/0000-0001-5340-9393"},"institutions":[{"id":"https://openalex.org/I162871001","display_name":"University of Oradea","ror":"https://ror.org/00wzhv093","country_code":"RO","type":"education","lineage":["https://openalex.org/I162871001"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Olimpia I. Ban","raw_affiliation_strings":["Department of Economics, University of Oradea, Universit\u0103\u0163ii 1, Oradea, Romania","E-mail:","Fax: +40 0259 408461"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Oradea, Universit\u0103\u0163ii 1, Oradea, Romania","institution_ids":["https://openalex.org/I162871001"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]},{"raw_affiliation_string":"Fax: +40 0259 408461","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028040478","display_name":"Delia A. Tu\u015fe","orcid":"https://orcid.org/0000-0003-1594-0559"},"institutions":[{"id":"https://openalex.org/I162871001","display_name":"University of Oradea","ror":"https://ror.org/00wzhv093","country_code":"RO","type":"education","lineage":["https://openalex.org/I162871001"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Delia A. Tu\u015fe","raw_affiliation_strings":["Department of Mathematics and Informatics, University of Oradea, Universit\u0103\u0163ii 1, Oradea, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Informatics, University of Oradea, Universit\u0103\u0163ii 1, Oradea, Romania","institution_ids":["https://openalex.org/I162871001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087028195"],"corresponding_institution_ids":["https://openalex.org/I162871001"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":2.2241,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88847135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":"1","first_page":"583","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10154","display_name":"Customer Service Quality and Loyalty","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6936209201812744},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.6145356297492981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5543394684791565},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5440596342086792},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5391107201576233},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.534832239151001},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46558183431625366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.444105863571167},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4327632486820221},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4271325469017029},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41014382243156433},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.3725069761276245},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.36980101466178894},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35648077726364136},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.335918664932251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27250128984451294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23394522070884705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22799044847488403}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6936209201812744},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.6145356297492981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5543394684791565},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5440596342086792},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5391107201576233},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.534832239151001},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46558183431625366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.444105863571167},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4327632486820221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4271325469017029},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41014382243156433},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.3725069761276245},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.36980101466178894},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35648077726364136},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.335918664932251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27250128984451294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23394522070884705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22799044847488403},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-151840","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151840","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W22120743","https://openalex.org/W139024339","https://openalex.org/W565587792","https://openalex.org/W1482495375","https://openalex.org/W1484928524","https://openalex.org/W1559203864","https://openalex.org/W1575172445","https://openalex.org/W1618557611","https://openalex.org/W1664166172","https://openalex.org/W1964682347","https://openalex.org/W1965568936","https://openalex.org/W1968639056","https://openalex.org/W1971488210","https://openalex.org/W1985920035","https://openalex.org/W1988503662","https://openalex.org/W1989221798","https://openalex.org/W1989354217","https://openalex.org/W1996565101","https://openalex.org/W1997679081","https://openalex.org/W2005481082","https://openalex.org/W2006727531","https://openalex.org/W2007084185","https://openalex.org/W2013695395","https://openalex.org/W2019950953","https://openalex.org/W2024355048","https://openalex.org/W2028116958","https://openalex.org/W2028380656","https://openalex.org/W2034545314","https://openalex.org/W2042746503","https://openalex.org/W2047213157","https://openalex.org/W2049958305","https://openalex.org/W2056117752","https://openalex.org/W2063814405","https://openalex.org/W2065942227","https://openalex.org/W2069069851","https://openalex.org/W2075462093","https://openalex.org/W2076401962","https://openalex.org/W2081192361","https://openalex.org/W2082285982","https://openalex.org/W2089296071","https://openalex.org/W2089624753","https://openalex.org/W2090769301","https://openalex.org/W2091018455","https://openalex.org/W2092986776","https://openalex.org/W2093691360","https://openalex.org/W2093827652","https://openalex.org/W2106790680","https://openalex.org/W2113457682","https://openalex.org/W2119957433","https://openalex.org/W2134580631","https://openalex.org/W2145901504","https://openalex.org/W2161351880","https://openalex.org/W2384271608","https://openalex.org/W2754773284","https://openalex.org/W2912565176","https://openalex.org/W3145109751","https://openalex.org/W4211007335","https://openalex.org/W4230588984","https://openalex.org/W4249849247"],"related_works":["https://openalex.org/W2773005380","https://openalex.org/W2060361571","https://openalex.org/W1879432897","https://openalex.org/W647390320","https://openalex.org/W2129238566","https://openalex.org/W2256857057","https://openalex.org/W3167814444","https://openalex.org/W3176863924","https://openalex.org/W4242970302","https://openalex.org/W4361984403"],"abstract_inverted_index":{"A":[0,130],"successful":[1],"indirect":[2,59],"method":[3,60],"to":[4,56,115,146],"calculate":[5],"the":[6,9,18,23,36,53,64,69,74,84,98,128,147],"importance":[7,65],"of":[8,15,20,61,63,66,127,141,149],"attributes":[10,21,67],"in":[11,34,52,68,152,157],"services":[12,151],"is":[13,47,95,119],"that":[14],"correlation":[16,75],"between":[17],"performance":[19],"and":[22,87,109,123,134],"overall":[24],"satisfaction":[25],"such":[26],"as":[27,42,105],"they":[28],"are":[29,80,137,155],"perceived":[30],"by":[31],"customers.":[32],"Often,":[33],"practice,":[35],"input":[37],"data":[38],"must":[39],"be":[40],"considered":[41],"fuzzy":[43,70,117],"numbers,":[44],"therefore":[45],"it":[46],"completely":[48],"justified":[49],"our":[50,160],"aim":[51],"present":[54],"paper,":[55],"give":[57],"an":[58,124],"calculation":[62],"case,":[71],"based":[72,96],"on":[73,97],"coefficient.":[76],"The":[77,92,102,139],"main":[78],"benefits":[79],"related":[81],"especially":[82],"with":[83,110,144,159],"importance-performance":[85],"analysis":[86],"multicriteria":[88],"decision":[89],"making":[90],"methods.":[91],"effective":[93],"computation":[94],"Zadeh\u2019s":[99],"extension":[100],"principle.":[101],"expected":[103],"value,":[104],"a":[106,116,142],"very":[107],"simple":[108],"suitable":[111],"properties":[112],"characteristic":[113],"associated":[114],"number,":[118],"used":[120],"for":[121],"defuzzification":[122],"immediate":[125],"interpretation":[126],"results.":[129],"practical":[131],"method,":[132],"algorithms":[133],"illustrative":[135],"examples":[136],"given.":[138],"results":[140],"survey":[143],"respect":[145],"quality":[148],"hotel":[150],"Oradea":[153],"(Romania)":[154],"processed":[156],"accordance":[158],"method.":[161]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}