{"id":"https://openalex.org/W3082404551","doi":"https://doi.org/10.1109/fuzz48607.2020.9177712","title":"2-tuple fuzzy linguistic perceptions and probabilistic awareness-based heuristics for modeling consumer purchase behaviors","display_name":"2-tuple fuzzy linguistic perceptions and probabilistic awareness-based heuristics for modeling consumer purchase behaviors","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082404551","doi":"https://doi.org/10.1109/fuzz48607.2020.9177712","mag":"3082404551"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5076611930","display_name":"Jes\u00fas Gir\u00e1ldez-Cru","orcid":"https://orcid.org/0000-0001-8963-6299"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jesus Giraldez-Cru","raw_affiliation_strings":["Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059781225","display_name":"Manuel Chica","orcid":"https://orcid.org/0000-0002-4717-1056"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manuel Chica","raw_affiliation_strings":["Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043084209","display_name":"\u00d3scar Cord\u00f3n","orcid":"https://orcid.org/0000-0001-5112-5629"},"institutions":[{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]},{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Oscar Cordon","raw_affiliation_strings":["Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045016749","display_name":"Francisco Herrera","orcid":"https://orcid.org/0000-0002-7283-312X"},"institutions":[{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]},{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Herrera","raw_affiliation_strings":["Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute DaSCI \"Data Science and Computational Intelligence\", University of Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076611930"],"corresponding_institution_ids":["https://openalex.org/I173304897","https://openalex.org/I4210095677"],"apc_list":null,"apc_paid":null,"fwci":0.1353,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55921839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.986299991607666,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.986299991607666,"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":0.9635999798774719,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9337000250816345,"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/heuristics","display_name":"Heuristics","score":0.7241470813751221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6384822726249695},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.577867865562439},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5576484203338623},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5480376482009888},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49390608072280884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4066573977470398},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38143670558929443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3268944025039673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25003284215927124}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7241470813751221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384822726249695},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.577867865562439},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5576484203338623},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5480376482009888},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49390608072280884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4066573977470398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38143670558929443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3268944025039673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25003284215927124},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:uon:46493","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.13/1462521","pdf_url":null,"source":{"id":"https://openalex.org/S4377196471","display_name":"NOVA (University of Newcastle Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78757542","host_organization_name":"University of Newcastle Australia","host_organization_lineage":["https://openalex.org/I78757542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W139662433","https://openalex.org/W567313566","https://openalex.org/W1460269907","https://openalex.org/W1517482370","https://openalex.org/W1978112789","https://openalex.org/W2001208895","https://openalex.org/W2060907774","https://openalex.org/W2096016260","https://openalex.org/W2102148524","https://openalex.org/W2117827905","https://openalex.org/W2134732019","https://openalex.org/W2144014493","https://openalex.org/W2157041604","https://openalex.org/W2164936665","https://openalex.org/W2169333492","https://openalex.org/W2310266302","https://openalex.org/W2313149600","https://openalex.org/W2331099018","https://openalex.org/W2401602746","https://openalex.org/W2499017762","https://openalex.org/W2521112083","https://openalex.org/W2588997232","https://openalex.org/W2765843332","https://openalex.org/W2798989012","https://openalex.org/W2890958833","https://openalex.org/W2953924006","https://openalex.org/W2957879630","https://openalex.org/W2991138813","https://openalex.org/W2997327380","https://openalex.org/W2999172991","https://openalex.org/W3121364520","https://openalex.org/W4205945437","https://openalex.org/W4229661224","https://openalex.org/W4235311637","https://openalex.org/W4239315880","https://openalex.org/W4240278385","https://openalex.org/W4245152641","https://openalex.org/W4301753049","https://openalex.org/W6712636769","https://openalex.org/W6765775080","https://openalex.org/W6845853776"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W2041180560","https://openalex.org/W2145503356","https://openalex.org/W1561721581","https://openalex.org/W2012731963"],"abstract_inverted_index":{"Agent-based":[0],"modeling":[1],"(ABM)":[2],"is":[3,21,112,198],"a":[4,17,45,92,104,109,118,126,165],"simulation":[5],"paradigm":[6],"to":[7,24,27,32,83,107],"model":[8,160],"complex":[9],"systems":[10],"by":[11,163],"defining":[12],"heterogeneous":[13],"individual-level":[14],"behaviors":[15],"in":[16,153],"bottom-up":[18],"approach.":[19],"ABM":[20,47],"typically":[22],"employed":[23],"simulate":[25],"markets":[26],"study":[28],"consumer":[29,49,175,196],"decisions":[30,76],"and":[31,117],"see":[33],"how":[34],"consumers":[35,64,144],"make":[36],"their":[37,75],"purchase":[38],"decisions.":[39],"In":[40,81,99,142,156],"this":[41,161],"work,":[42],"we":[43,159],"present":[44],"marketing":[46],"where":[48],"perceptions":[50,116,131],"are":[51,91,183],"modeled":[52],"using":[53],"2-tuple":[54],"fuzzy":[55,88,127],"linguistic":[56,89],"variables.":[57],"These":[58],"variables":[59,90],"represent":[60],"the":[61,63,67,130,154,171,195],"opinions":[62],"have":[65],"on":[66,114,136],"different":[68],"features":[69],"of":[70,95,129,132,150,194],"every":[71,133],"product,":[72,110,134],"which":[73,111],"drive":[74],"(e.g.,":[77],"price":[78],"or":[79,85,148],"quality).":[80],"contrast":[82],"numerical":[84],"crisp":[86],"values,":[87],"realistic":[93,192],"representation":[94,193],"these":[96],"qualitative":[97],"aspects.":[98],"our":[100,157,191],"ABM,":[101,158],"agents":[102,176],"use":[103],"decision-making":[105,172],"heuristic":[106],"select":[108,179],"based":[113,135],"those":[115,180],"probabilistic":[119],"utility":[120],"maximization":[121],"rule.":[122],"This":[123],"process":[124],"requires":[125],"aggregation":[128],"an":[137],"ordered":[138],"weighted":[139],"average":[140],"(OWA).":[141],"addition,":[143],"can":[145,177],"be":[146],"aware":[147,184],"unaware":[149],"each":[151],"product":[152],"market.":[155],"information":[162],"introducing":[164],"brand":[166],"awareness":[167],"filter":[168],"when":[169],"applying":[170],"heuristic.":[173],"Thus,":[174],"only":[178],"products":[181],"they":[182],"of.":[185],"Our":[186],"experimental":[187],"results":[188],"show":[189],"that":[190],"preferences":[197],"more":[199],"accurate":[200],"than":[201],"other":[202],"existing":[203],"approaches.":[204]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
