{"id":"https://openalex.org/W3185649761","doi":"https://doi.org/10.3233/jifs-210402","title":"Methods for multi-attribute decision making, pattern recognition and clustering based on T-spherical fuzzy information measures","display_name":"Methods for multi-attribute decision making, pattern recognition and clustering based on T-spherical fuzzy information measures","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3185649761","doi":"https://doi.org/10.3233/jifs-210402","mag":"3185649761"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210402","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210402","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5108829659","display_name":"Kifayat Ullah","orcid":null},"institutions":[{"id":"https://openalex.org/I195024194","display_name":"Riphah International University","ror":"https://ror.org/02kdm5630","country_code":"PK","type":"education","lineage":["https://openalex.org/I195024194"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Kifayat Ullah","raw_affiliation_strings":["Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Pakistan","institution_ids":["https://openalex.org/I195024194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740852","display_name":"Zeeshan Ali","orcid":"https://orcid.org/0000-0001-5878-714X"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Zeeshan Ali","raw_affiliation_strings":["Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646948","display_name":"Tahir Mahmood","orcid":"https://orcid.org/0000-0002-3871-3845"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Tahir Mahmood","raw_affiliation_strings":["Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054194585","display_name":"Harish Garg","orcid":"https://orcid.org/0000-0001-9099-8422"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harish Garg","raw_affiliation_strings":["School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090102526","display_name":"Ronnason Chinram","orcid":"https://orcid.org/0000-0002-6113-3689"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Ronnason Chinram","raw_affiliation_strings":["Algebra and Applications Research Unit, Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Algebra and Applications Research Unit, Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090102526"],"corresponding_institution_ids":["https://openalex.org/I131868736"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":2.4073,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88545276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"42","issue":"4","first_page":"2957","last_page":"2977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9988999962806702,"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":0.9988999962806702,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9513999819755554,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6802135109901428},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5694535374641418},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.543122410774231},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5375502109527588},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5012779235839844},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4855642020702362},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.456720232963562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.455645889043808},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.4536922574043274},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4492185115814209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33539634943008423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21473020315170288},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.1544017791748047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1135861873626709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802135109901428},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5694535374641418},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.543122410774231},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5375502109527588},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5012779235839844},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4855642020702362},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.456720232963562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.455645889043808},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.4536922574043274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4492185115814209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33539634943008423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21473020315170288},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.1544017791748047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1135861873626709},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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:10.3233/jifs-210402","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210402","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1845000206","https://openalex.org/W1980564456","https://openalex.org/W1991482489","https://openalex.org/W1998274657","https://openalex.org/W2026046060","https://openalex.org/W2079457935","https://openalex.org/W2099469179","https://openalex.org/W2125906479","https://openalex.org/W2311142332","https://openalex.org/W2359640337","https://openalex.org/W2414387118","https://openalex.org/W2514754342","https://openalex.org/W2590327654","https://openalex.org/W2669156789","https://openalex.org/W2746747652","https://openalex.org/W2790677216","https://openalex.org/W2804105936","https://openalex.org/W2806370871","https://openalex.org/W2913148204","https://openalex.org/W2922175244","https://openalex.org/W2938685076","https://openalex.org/W2969417314","https://openalex.org/W2990326609","https://openalex.org/W3007573849","https://openalex.org/W3009761115","https://openalex.org/W3041474978","https://openalex.org/W3047313007","https://openalex.org/W3092086320","https://openalex.org/W3113031314","https://openalex.org/W4211007335","https://openalex.org/W6645914205","https://openalex.org/W6675303332","https://openalex.org/W6706936459","https://openalex.org/W6739633590","https://openalex.org/W6787291639"],"related_works":["https://openalex.org/W2355511198","https://openalex.org/W2744391954","https://openalex.org/W2359284531","https://openalex.org/W2367235275","https://openalex.org/W2127368611","https://openalex.org/W2355331022","https://openalex.org/W2116479904","https://openalex.org/W2901968061","https://openalex.org/W3008294857","https://openalex.org/W1990321825"],"abstract_inverted_index":{"T-spherical":[0],"fuzzy":[1,11,16,39],"set":[2,12,17],"(TSFS)":[3],"is":[4,72,104,146,155,187],"a":[5],"generalized":[6,83],"version":[7],"of":[8,38,48,64,68,112,127,142,151,162,169,173,182],"the":[9,46,62,69,93,97,110,125,135,143,149,152,163,167,170],"spherical":[10],"(SFS)":[13],"and":[14,22,35,55,86,107,119,134,166,176,190],"picture":[15],"(PFS)":[18],"to":[19,44,56,80,124],"manage":[20],"awkward":[21],"unpredictable":[23],"information":[24],"in":[25,61],"realistic":[26],"decision":[27],"issues.":[28],"TSFS":[29],"deals":[30],"with":[31,109],"yes,":[32],"abstinence,":[33],"no,":[34],"refusal":[36],"type":[37],"information.":[40],"This":[41],"manuscript":[42],"aims":[43],"observe":[45],"drawbacks":[47,168],"some":[49,58,82,113,158,191],"existing":[50],"dice":[51],"similarity":[52],"measures":[53,99],"(DSMs)":[54],"propose":[57],"new":[59,70,117,144,164],"DSMs":[60,71,76,84,154,165,172],"environment":[63],"TSFSs.":[65],"The":[66,74,115,160,185],"validation":[67],"proved.":[73],"defined":[75],"are":[77,90,122,138,195],"further":[78],"extended":[79],"introduce":[81],"(GDSMs)":[85],"their":[87,183],"special":[88],"cases":[89],"studied.":[91],"Additionally,":[92],"TOPSIS":[94,120],"method":[95,121],"using":[96],"entropy":[98],"(EMs)":[100],"based":[101],"on":[102],"TSFSs":[103],"also":[105],"explored":[106],"verified":[108],"help":[111],"examples.":[114],"proposed":[116,153],"GDSMs":[118],"applied":[123],"problem":[126],"building":[128],"material":[129],"recognition,":[130],"medical":[131],"diagnosis,":[132],"clustering,":[133],"results":[136],"obtained":[137],"investigated.":[139],"A":[140],"comparison":[141],"theory":[145],"established":[147],"where":[148],"advancement":[150],"elaborated":[156],"under":[157],"conditions.":[159],"advantages":[161],"previous":[171],"IFSs,":[174],"PyFSs,":[175],"PFSs":[177],"have":[178],"been":[179],"studied":[180],"because":[181],"applicability.":[184],"article":[186],"comprehensively":[188],"summarized,":[189],"possible":[192],"future":[193],"directions":[194],"stated.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}