{"id":"https://openalex.org/W2055809416","doi":"https://doi.org/10.1109/fskd.2013.6816174","title":"Relationship between similarity measure and entropy of interval type-2 fuzzy sets","display_name":"Relationship between similarity measure and entropy of interval type-2 fuzzy sets","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2055809416","doi":"https://doi.org/10.1109/fskd.2013.6816174","mag":"2055809416"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2013.6816174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2013.6816174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5100368823","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0001-8125-6945"},"institutions":[{"id":"https://openalex.org/I4210131782","display_name":"Sichuan Institute of Building Research","ror":"https://ror.org/03kxtax58","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131782"]},{"id":"https://openalex.org/I4387153226","display_name":"Sichuan College of Architectural Technology","ror":"https://ror.org/00yqxd286","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153226"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Department of Economic Management, Sichuan College of Architectural Technology, Deyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economic Management, Sichuan College of Architectural Technology, Deyang, China","institution_ids":["https://openalex.org/I4210131782","https://openalex.org/I4387153226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101501752","display_name":"Gao Zheng","orcid":"https://orcid.org/0009-0003-4405-2654"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao Zheng","raw_affiliation_strings":["Department of Electromechanical Management, China Maritime Police Academy, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electromechanical Management, China Maritime Police Academy, Ningbo, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"98","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9965000152587891,"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":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/corollary","display_name":"Corollary","score":0.6871629357337952},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6715648174285889},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6301307678222656},{"id":"https://openalex.org/keywords/fuzzy-measure-theory","display_name":"Fuzzy measure theory","score":0.6025851368904114},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5835526585578918},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5649544596672058},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5494250655174255},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4707425534725189},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4646334946155548},{"id":"https://openalex.org/keywords/type-2-fuzzy-sets-and-systems","display_name":"Type-2 fuzzy sets and systems","score":0.4350108504295349},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.42803773283958435},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.42104798555374146},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4202282726764679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3785562515258789},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35782474279403687},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3500344157218933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33891358971595764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.28974682092666626},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0624922513961792}],"concepts":[{"id":"https://openalex.org/C2780012671","wikidata":"https://www.wikidata.org/wiki/Q1343870","display_name":"Corollary","level":2,"score":0.6871629357337952},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6715648174285889},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6301307678222656},{"id":"https://openalex.org/C100516043","wikidata":"https://www.wikidata.org/wiki/Q4455138","display_name":"Fuzzy measure theory","level":5,"score":0.6025851368904114},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5835526585578918},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5649544596672058},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5494250655174255},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4707425534725189},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4646334946155548},{"id":"https://openalex.org/C17350324","wikidata":"https://www.wikidata.org/wiki/Q7860605","display_name":"Type-2 fuzzy sets and systems","level":5,"score":0.4350108504295349},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.42803773283958435},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.42104798555374146},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4202282726764679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3785562515258789},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35782474279403687},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3500344157218933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33891358971595764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28974682092666626},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0624922513961792},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2013.6816174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2013.6816174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322300","display_name":"Jilin University","ror":"https://ror.org/00js3aw79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1969479895","https://openalex.org/W1985317768","https://openalex.org/W2011364226","https://openalex.org/W2016236227","https://openalex.org/W2029074979","https://openalex.org/W2037351862","https://openalex.org/W2098201091","https://openalex.org/W2123964448","https://openalex.org/W2133155653","https://openalex.org/W2141178894","https://openalex.org/W2155321204","https://openalex.org/W2155976821","https://openalex.org/W2157041604","https://openalex.org/W2234314319","https://openalex.org/W2598771954","https://openalex.org/W4205471131"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W2674573885","https://openalex.org/W1485268022","https://openalex.org/W4361984403","https://openalex.org/W1975005191","https://openalex.org/W1487720066","https://openalex.org/W1542808721","https://openalex.org/W2331106272","https://openalex.org/W2148720919","https://openalex.org/W2960454922"],"abstract_inverted_index":{"The":[0],"similarity":[1,35],"measure":[2,36],"and":[3,17,37,51,55],"entropy":[4,38],"of":[5,39],"fuzzy":[6,11,14,42],"sets":[7,43],"are":[8],"two":[9,53,66],"important":[10],"measures":[12],"in":[13,73],"logic":[15],"theory":[16],"it":[18],"is":[19],"significant":[20],"to":[21],"research":[22],"their":[23],"relationship.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"mainly":[29],"discuss":[30],"the":[31,34,61],"relationship":[32,64],"between":[33,65],"interval":[40],"type-2":[41],"(IT2":[44],"FSs)":[45],"proposed":[46],"by":[47],"Zheng":[48],"et":[49],"al.,":[50],"give":[52],"Theorems":[54],"a":[56],"Corollary":[57],"that":[58],"can":[59],"reflect":[60],"mutual":[62],"conversion":[63],"indexes.":[67],"These":[68],"conclusions":[69],"have":[70],"extensive":[71],"practicability":[72],"many":[74],"fields.":[75]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}