{"id":"https://openalex.org/W4401328959","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10612113","title":"A Comprehensive Guideline to Design Interpretable Hierarchical Fuzzy Systems","display_name":"A Comprehensive Guideline to Design Interpretable Hierarchical Fuzzy Systems","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401328959","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10612113"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee60900.2024.10612113","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10612113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069314633","display_name":"Tajul Rosli Razak","orcid":"https://orcid.org/0000-0002-6389-8108"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Tajul Rosli Razak","raw_affiliation_strings":["School of Computing Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA,Selangor,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA,Selangor,Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040516036","display_name":"Jonathan M. Garibaldi","orcid":"https://orcid.org/0000-0002-9690-7074"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathan M. Garibaldi","raw_affiliation_strings":["School of Computer Science, University of Nottingham,Laboratory for Uncertainty in Data and Decision Making (LUCID),United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham,Laboratory for Uncertainty in Data and Decision Making (LUCID),United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070095814","display_name":"Christian Wagner","orcid":"https://orcid.org/0000-0002-6121-9722"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christian Wagner","raw_affiliation_strings":["School of Computer Science, University of Nottingham,Laboratory for Uncertainty in Data and Decision Making (LUCID),United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham,Laboratory for Uncertainty in Data and Decision Making (LUCID),United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9918000102043152,"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":0.9556999802589417,"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/guideline","display_name":"Guideline","score":0.7455775141716003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249719262123108},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5871684551239014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4407273530960083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38587671518325806},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08250182867050171}],"concepts":[{"id":"https://openalex.org/C2780182762","wikidata":"https://www.wikidata.org/wiki/Q1630279","display_name":"Guideline","level":2,"score":0.7455775141716003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249719262123108},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5871684551239014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4407273530960083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38587671518325806},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08250182867050171},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee60900.2024.10612113","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10612113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1582751537","https://openalex.org/W1965236814","https://openalex.org/W1968671357","https://openalex.org/W1973994378","https://openalex.org/W1977708064","https://openalex.org/W2016086965","https://openalex.org/W2023586937","https://openalex.org/W2027402490","https://openalex.org/W2029467722","https://openalex.org/W2038830572","https://openalex.org/W2042043333","https://openalex.org/W2058465495","https://openalex.org/W2089767545","https://openalex.org/W2107951872","https://openalex.org/W2111547651","https://openalex.org/W2120115073","https://openalex.org/W2125631815","https://openalex.org/W2127709381","https://openalex.org/W2152187914","https://openalex.org/W2153762799","https://openalex.org/W2171539475","https://openalex.org/W2241625790","https://openalex.org/W2501295153","https://openalex.org/W2579555219","https://openalex.org/W2611746572","https://openalex.org/W2896140141","https://openalex.org/W2897764999","https://openalex.org/W2917107991","https://openalex.org/W2920068249","https://openalex.org/W2944690288","https://openalex.org/W2954793192","https://openalex.org/W2971300182","https://openalex.org/W3003515803","https://openalex.org/W3082774306","https://openalex.org/W3187817980","https://openalex.org/W4295767255","https://openalex.org/W4388517789","https://openalex.org/W6601104584"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2339422290","https://openalex.org/W2397653702","https://openalex.org/W4233871529","https://openalex.org/W2338818750","https://openalex.org/W3019157102","https://openalex.org/W2365451219","https://openalex.org/W2415869793"],"abstract_inverted_index":{"Hierarchical":[0],"fuzzy":[1],"systems":[2,20],"(HFSs)":[3],"are":[4],"claimed":[5],"to":[6,11,28,32,52,69,75,96,108],"be":[7,120],"an":[8,42,67],"excellent":[9],"approach":[10,68],"reducing":[12],"the":[13,30,53,101],"number":[14],"of":[15,82],"rules":[16],"in":[17,122],"Fuzzy":[18],"logic":[19],"(FLSs).":[21],"Further,":[22],"HFSs":[23],"have":[24,29,57],"also":[25],"been":[26],"shown":[27],"potential":[31],"reduce":[33],"complexity":[34],"and":[35,61],"improve":[36],"interpretability":[37],"for":[38,86,100,114],"FLSs.":[39],"However,":[40],"designing":[41,115],"interpretable":[43,77,87,98,116],"HFS":[44,99],"is":[45,50,90],"a":[46,71,93,112],"challenging":[47],"task.":[48],"This":[49,63,105],"due":[51],"HFSs'":[54],"structures,":[55],"which":[56],"multiple":[58],"subsystems,":[59],"layers":[60],"topologies.":[62],"paper":[64],"put":[65],"forward":[66],"present":[70],"design":[72,97],"guidelines":[73,85],"framework":[74,80],"build":[76],"HFSs.":[78,88],"The":[79],"consists":[81],"five":[83],"key":[84],"It":[89],"demonstrated":[91],"using":[92],"real-world":[94],"example":[95],"Iris":[102],"classification":[103],"problem.":[104],"study":[106],"contributes":[107],"providing":[109],"insight":[110],"into":[111],"pathway":[113],"HFSs,":[117],"as":[118],"can":[119],"used":[121],"practice.":[123]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
