{"id":"https://openalex.org/W4388517689","doi":"https://doi.org/10.1109/fuzz52849.2023.10309706","title":"Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces","display_name":"Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces","publication_year":2023,"publication_date":"2023-08-13","ids":{"openalex":"https://openalex.org/W4388517689","doi":"https://doi.org/10.1109/fuzz52849.2023.10309706"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz52849.2023.10309706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz52849.2023.10309706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","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/A5073491552","display_name":"John Wesley Hostetter","orcid":"https://orcid.org/0000-0002-7008-7493"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Wesley Hostetter","raw_affiliation_strings":["College of Engineering, North Carolina State University,Department of Computer Science,Raleigh,NC,USA","Department of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, North Carolina State University,Department of Computer Science,Raleigh,NC,USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Department of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090231772","display_name":"Min Chi","orcid":"https://orcid.org/0000-0003-1765-7837"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Chi","raw_affiliation_strings":["College of Engineering, North Carolina State University,Department of Computer Science,Raleigh,NC,USA","Department of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, North Carolina State University,Department of Computer Science,Raleigh,NC,USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Department of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073491552"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66522784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","score":0.998199999332428,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9836999773979187,"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/encoding","display_name":"Encoding (memory)","score":0.730330765247345},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6841669678688049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6317982077598572},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5602260828018188},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5414881706237793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5278075933456421},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.47433704137802124},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4192863702774048},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34431642293930054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24322426319122314}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.730330765247345},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6841669678688049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317982077598572},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5602260828018188},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5414881706237793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5278075933456421},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.47433704137802124},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4192863702774048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34431642293930054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24322426319122314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz52849.2023.10309706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz52849.2023.10309706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W91190913","https://openalex.org/W635500860","https://openalex.org/W1869713303","https://openalex.org/W1928034604","https://openalex.org/W1980063284","https://openalex.org/W1988882685","https://openalex.org/W1994672311","https://openalex.org/W1995450389","https://openalex.org/W1999126532","https://openalex.org/W2004873643","https://openalex.org/W2021552781","https://openalex.org/W2035545706","https://openalex.org/W2050288270","https://openalex.org/W2073258676","https://openalex.org/W2085629944","https://openalex.org/W2116841002","https://openalex.org/W2121573754","https://openalex.org/W2128498386","https://openalex.org/W2131054889","https://openalex.org/W2133085637","https://openalex.org/W2142899655","https://openalex.org/W2150395249","https://openalex.org/W2152220366","https://openalex.org/W2154642048","https://openalex.org/W2156060469","https://openalex.org/W2156950153","https://openalex.org/W2158316397","https://openalex.org/W2159111290","https://openalex.org/W2170226951","https://openalex.org/W2172906148","https://openalex.org/W2345945873","https://openalex.org/W2561576489","https://openalex.org/W2604272474","https://openalex.org/W2768540371","https://openalex.org/W2892977204","https://openalex.org/W2944521209","https://openalex.org/W2978289855","https://openalex.org/W3082139201","https://openalex.org/W4226078720","https://openalex.org/W4388517652","https://openalex.org/W6676179485"],"related_works":["https://openalex.org/W571281153","https://openalex.org/W2949403936","https://openalex.org/W3023806604","https://openalex.org/W2952139525","https://openalex.org/W4301247218","https://openalex.org/W2129818458","https://openalex.org/W4289551052","https://openalex.org/W4390756076","https://openalex.org/W4243074410","https://openalex.org/W2969742028"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"a":[3,28,45],"general":[4],"approach":[5],"for":[6,68],"generating":[7],"fuzzy":[8],"logic":[9],"rules":[10],"in":[11,59,84],"regression":[12],"tasks":[13],"with":[14],"complex,":[15],"high-dimensional":[16],"input":[17],"spaces.":[18],"The":[19,48],"method":[20,53],"leverages":[21],"the":[22,41,51,61,66,69,77,85],"power":[23],"of":[24,43,50,63,65],"encoding":[25],"data":[26],"into":[27],"latent":[29],"space,":[30],"where":[31],"its":[32,57],"uniqueness":[33],"is":[34,54],"analyzed":[35],"to":[36],"determine":[37],"whether":[38],"it":[39],"merits":[40],"distinction":[42],"becoming":[44],"noteworthy":[46],"exemplar.":[47],"efficacy":[49],"proposed":[52],"showcased":[55],"through":[56],"application":[58],"predicting":[60],"acceleration":[62],"one":[64],"links":[67],"Unimation":[70],"Puma":[71],"560":[72],"robot":[73],"arm,":[74],"effectively":[75],"overcoming":[76],"challenges":[78],"posed":[79],"by":[80],"non-linearity":[81],"and":[82],"noise":[83],"dataset.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}