{"id":"https://openalex.org/W2174894978","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337946","title":"A novel clustering algorithm based on a new similarity measure over Intuitionistic fuzzy sets","display_name":"A novel clustering algorithm based on a new similarity measure over Intuitionistic fuzzy sets","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2174894978","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337946","mag":"2174894978"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5011302545","display_name":"Rinki Solanki","orcid":null},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rinki Solanki","raw_affiliation_strings":["Department of Mathematics, South Asian University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, South Asian University, New Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044865157","display_name":"Q. M. Danish Lohani","orcid":"https://orcid.org/0000-0002-2006-3709"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Q.M. Danish Lohani","raw_affiliation_strings":["Department of Mathematics, South Asian University, New Delhi, Delhi, IN"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, South Asian University, New Delhi, Delhi, IN","institution_ids":["https://openalex.org/I90425906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003623633","display_name":"Pranab K. Muhuri","orcid":"https://orcid.org/0000-0001-7122-7622"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pranab K. Muhuri","raw_affiliation_strings":["Department of Mathematics, South Asian University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, South Asian University, New Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011302545"],"corresponding_institution_ids":["https://openalex.org/I90425906"],"apc_list":null,"apc_paid":null,"fwci":3.2047,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9199299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9986000061035156,"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":0.9925000071525574,"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/T11106","display_name":"Data Management and Algorithms","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/similarity","display_name":"Similarity (geometry)","score":0.6955137848854065},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.63630211353302},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6202014088630676},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6147202253341675},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5930017232894897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5445473790168762},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5087462067604065},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.4973602592945099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49082574248313904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4844086766242981},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4838827848434448},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47772619128227234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4364446997642517},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.42970138788223267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37138795852661133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20892488956451416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05849337577819824}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6955137848854065},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.63630211353302},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6202014088630676},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6147202253341675},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5930017232894897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5445473790168762},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5087462067604065},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.4973602592945099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49082574248313904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4844086766242981},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4838827848434448},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47772619128227234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4364446997642517},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.42970138788223267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37138795852661133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20892488956451416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05849337577819824},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7337946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W343066586","https://openalex.org/W1969138220","https://openalex.org/W1978380673","https://openalex.org/W1980564456","https://openalex.org/W1983588947","https://openalex.org/W1998426038","https://openalex.org/W2004486452","https://openalex.org/W2007967146","https://openalex.org/W2017846705","https://openalex.org/W2024492332","https://openalex.org/W2029064186","https://openalex.org/W2040708472","https://openalex.org/W2040810017","https://openalex.org/W2067648457","https://openalex.org/W2078463017","https://openalex.org/W2079767857","https://openalex.org/W2084418735","https://openalex.org/W2084649290","https://openalex.org/W2087501680","https://openalex.org/W2091051917","https://openalex.org/W2095395818","https://openalex.org/W2113076747","https://openalex.org/W2126626732","https://openalex.org/W2126722051","https://openalex.org/W2127218421","https://openalex.org/W2129066856","https://openalex.org/W2129135389","https://openalex.org/W2140599494","https://openalex.org/W2150926065","https://openalex.org/W2372526524","https://openalex.org/W2495321316","https://openalex.org/W2496338429","https://openalex.org/W2612166593","https://openalex.org/W3141325988","https://openalex.org/W3148443593","https://openalex.org/W4230541729","https://openalex.org/W4292295629","https://openalex.org/W6678674034","https://openalex.org/W6678914141","https://openalex.org/W6721827378"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053","https://openalex.org/W2112090263","https://openalex.org/W2315413568"],"abstract_inverted_index":{"In":[0],"Intuitionistic":[1],"fuzzy":[2,14],"sets(IFSs),":[3],"experts":[4,30],"assign":[5],"both":[6,44,60],"membership":[7,45,61,100],"value":[8,11,46,49,62,66,103],"and":[9,47,63],"non-membership":[10,48,65,102],"to":[12,33,68,82,116,133],"each":[13],"element":[15],"x":[16,69],"with":[17,105],"a":[18,56,140,147,161,166,187],"certain":[19],"degree":[20,149],"of":[21,28,42,97,113,178],"hesitation.":[22],"The":[23,157],"hesitancy":[24],"in":[25,154,164],"the":[26,29,64,71,86,89,95,118,123,151,176],"opinion":[27],"appear":[31],"due":[32],"incomplete":[34],"information":[35],"available":[36],"regarding":[37],"x.":[38],"Therefore,":[39,122],"precise":[40],"estimation":[41],"its":[43],"becomes":[50],"highly":[51],"difficult.":[52],"Hence,":[53],"there":[54],"is":[55],"high":[57],"chance":[58],"that":[59,111],"assigned":[67],"by":[70,144],"expert":[72],"may":[73],"not":[74],"be":[75],"absolutely":[76],"correct.":[77],"So,":[78,137],"whenever":[79],"we":[80,108,138,173],"try":[81],"measure":[83,143,159],"similarity":[84,124,142,148,158],"between":[85],"IFSs":[87,98],"using":[88],"various":[90],"distance":[91,129],"measures":[92,125,130],"involving":[93],"all":[94,112],"components":[96],"like":[99],"value,":[101],"together":[104],"hesitation,":[106],"then":[107],"often":[109],"notice":[110],"them":[114],"fails":[115,132],"describe":[117],"underlying":[119],"situation":[120],"completely.":[121],"derived":[126],"from":[127],"these":[128],"also":[131,174],"produce":[134],"good":[135],"results.":[136],"introduce":[139],"new":[141],"properly":[145],"defining":[146],"through":[150],"result":[152],"established":[153],"this":[155],"paper.":[156],"has":[160],"central":[162],"role":[163],"developing":[165],"modified":[167,180],"\u03bb-cutting":[168,181],"algorithm":[169,182],"for":[170],"clustering.":[171],"Here":[172],"establish":[175],"efficacy":[177],"our":[179],"while":[183],"implementing":[184],"it":[185],"on":[186],"real":[188],"world":[189],"data":[190],"set.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
