{"id":"https://openalex.org/W2074565453","doi":"https://doi.org/10.1109/icmlc.2010.5581066","title":"Dissimilarity measure of logical expressions","display_name":"Dissimilarity measure of logical expressions","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2074565453","doi":"https://doi.org/10.1109/icmlc.2010.5581066","mag":"2074565453"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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/A5100426687","display_name":"Weifeng Zhang","orcid":"https://orcid.org/0000-0003-1328-747X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Zhang","raw_affiliation_strings":["Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032405950","display_name":"Zengchang Qin","orcid":"https://orcid.org/0000-0002-8084-6721"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengchang Qin","raw_affiliation_strings":["Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Intelligent Computing and Machine Learning Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.6262,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64576352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2143","issue":null,"first_page":"199","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9945999979972839,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9934999942779541,"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/measure","display_name":"Measure (data warehouse)","score":0.8088051080703735},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7052655220031738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6423851251602173},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6108874082565308},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5852108597755432},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5165871381759644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5060674548149109},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.47267135977745056},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46951955556869507},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.44918757677078247},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37659090757369995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.277767539024353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18984633684158325},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08179682493209839}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.8088051080703735},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7052655220031738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423851251602173},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6108874082565308},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5852108597755432},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5165871381759644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5060674548149109},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.47267135977745056},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46951955556869507},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.44918757677078247},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37659090757369995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.277767539024353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18984633684158325},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08179682493209839}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5581066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1490936689","https://openalex.org/W1826108799","https://openalex.org/W1967185084","https://openalex.org/W1974458968","https://openalex.org/W2023671427","https://openalex.org/W2043775322","https://openalex.org/W2078988440","https://openalex.org/W2079767857","https://openalex.org/W2106508705","https://openalex.org/W2131815310","https://openalex.org/W2165094119","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4240278385"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2216913934","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W4301447905","https://openalex.org/W2333722679"],"abstract_inverted_index":{"The":[0],"concept":[1],"of":[2,24,28,32,44,64,72,93],"label":[3,49],"semantics":[4],"proposed":[5],"by":[6,83],"Lawry":[7],"is":[8,78],"a":[9,26,53],"random":[10],"set":[11],"framework":[12],"for":[13],"modeling":[14],"with":[15],"words.":[16],"It":[17,77],"proposes":[18],"two":[19,61],"fundamental":[20,68],"and":[21,69,81],"inter-related":[22],"measures":[23],"the":[25,58,86,91],"appropriateness":[27],"labels":[29],"as":[30],"descriptions":[31],"an":[33,42],"object":[34],"or":[35],"value.":[36],"In":[37],"this":[38,73],"paper,":[39],"based":[40,47],"on":[41,48],"introduction":[43],"logical":[45,62],"expressions":[46,63],"semantics,":[50],"we":[51],"present":[52],"new":[54,87],"measure":[55,88],"to":[56],"evaluate":[57],"distance":[59,74],"between":[60],"fuzzy":[65],"labels.":[66],"Two":[67],"important":[70],"properties":[71],"are":[75],"discussed.":[76],"theoretically":[79],"proved":[80],"tested":[82],"experiments":[84],"that":[85],"can":[89],"explain":[90],"dissimilarity":[92],"linguistic":[94],"rules":[95],"well.":[96]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}