{"id":"https://openalex.org/W3081532885","doi":"https://doi.org/10.1109/fuzz48607.2020.9177738","title":"A Novel Group Decision Making Approach using Pythagorean Fuzzy Preference Relation","display_name":"A Novel Group Decision Making Approach using Pythagorean Fuzzy Preference Relation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3081532885","doi":"https://doi.org/10.1109/fuzz48607.2020.9177738","mag":"3081532885"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5103278510","display_name":"Hengshan Zhang","orcid":"https://orcid.org/0000-0003-0364-463X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengshan Zhang","raw_affiliation_strings":["School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032375511","display_name":"Tianhua Chen","orcid":"https://orcid.org/0000-0003-4495-1871"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tianhua Chen","raw_affiliation_strings":["Department of Computer Science, University of Huddersfield, Huddersfield, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Huddersfield, Huddersfield, United Kingdom","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751424","display_name":"Zhongmin Wang","orcid":"https://orcid.org/0000-0003-0870-454X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongmin Wang","raw_affiliation_strings":["School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419627","display_name":"Yanping Chen","orcid":"https://orcid.org/0000-0001-6548-6070"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Chen","raw_affiliation_strings":["School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029622609","display_name":"Chunru Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunru Chen","raw_affiliation_strings":["School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103278510"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.359,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65539979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9704999923706055,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9498999714851379,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pythagorean-theorem","display_name":"Pythagorean theorem","score":0.836520791053772},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7786592245101929},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.7180324792861938},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6814320087432861},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6567971706390381},{"id":"https://openalex.org/keywords/preference-relation","display_name":"Preference relation","score":0.6493141651153564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5696412920951843},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5423056483268738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49878621101379395},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4379185736179352},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4138023853302002},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36328747868537903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31583160161972046},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10479587316513062},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08931204676628113},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.0778963565826416}],"concepts":[{"id":"https://openalex.org/C100461760","wikidata":"https://www.wikidata.org/wiki/Q11518","display_name":"Pythagorean theorem","level":2,"score":0.836520791053772},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7786592245101929},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.7180324792861938},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6814320087432861},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6567971706390381},{"id":"https://openalex.org/C2777062324","wikidata":"https://www.wikidata.org/wiki/Q25036211","display_name":"Preference relation","level":3,"score":0.6493141651153564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5696412920951843},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5423056483268738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49878621101379395},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4379185736179352},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4138023853302002},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36328747868537903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31583160161972046},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10479587316513062},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08931204676628113},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0778963565826416},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/d4f4d448-7ece-4093-99da-de3d899fc274","is_oa":false,"landing_page_url":"https://pure.hud.ac.uk/en/publications/d4f4d448-7ece-4093-99da-de3d899fc274","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang, H, Chen, T, Wang, Z, Chen, Y & Chen, C 2020, A Novel Group Decision Making Approach using Pythagorean Fuzzy Preference Relation. in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)., 9177738, IEEE International Fuzzy Systems conference proceedings, IEEE, 2020 IEEE International Conference on Fuzzy Systems, United Kingdom, 19/07/20. https://doi.org/10.1109/FUZZ48607.2020.9177738","raw_type":"info:eu-repo/semantics/publishedVersion"}],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1771499885","https://openalex.org/W2007244794","https://openalex.org/W2016591315","https://openalex.org/W2079912001","https://openalex.org/W2234244275","https://openalex.org/W2410588362","https://openalex.org/W2609291468","https://openalex.org/W2745348434","https://openalex.org/W2772265564","https://openalex.org/W2791971537","https://openalex.org/W2792517186","https://openalex.org/W2883111121","https://openalex.org/W2883880313","https://openalex.org/W2936635606","https://openalex.org/W2979748833","https://openalex.org/W2982253338","https://openalex.org/W3000005473","https://openalex.org/W6773070543"],"related_works":["https://openalex.org/W4205262062","https://openalex.org/W2002629668","https://openalex.org/W181477314","https://openalex.org/W2096290915","https://openalex.org/W2408137423","https://openalex.org/W2022533988","https://openalex.org/W2790208073","https://openalex.org/W2016410556","https://openalex.org/W1595663582","https://openalex.org/W2804133259"],"abstract_inverted_index":{"Pythagorean":[0],"Fuzzy":[1],"Preference":[2],"Relations":[3],"(PFPRs)":[4],"have":[5],"been":[6],"considered":[7],"in":[8,22,31,102,132],"recent":[9],"literature":[10],"more":[11],"powerful":[12],"and":[13,81,126],"flexible":[14],"than":[15],"the":[16,25,32,48,57,62,65,72,76,79,94,99,106,111,116,124,129],"popular":[17],"intuitionistic":[18],"fuzzy":[19],"preference":[20],"relation":[21],"dealing":[23],"with":[24,61,134],"linguistic":[26],"imprecision":[27],"for":[28,52],"decision":[29,36,53,95],"makers":[30,96],"large":[33],"scale":[34],"group":[35,108],"making.":[37],"Following":[38],"on":[39,47],"this":[40],"promising":[41],"trend,":[42],"a":[43],"novel":[44],"approach":[45,131],"based":[46],"PFPRs":[49],"is":[50,89],"proposed":[51,58,85,130],"support.":[54],"In":[55],"particular,":[56],"work":[59],"starts":[60],"acquisition":[63],"of":[64,75,113,115,128],"optimal":[66],"comparison":[67,74,133],"matrices,":[68],"which":[69],"essentially":[70],"record":[71],"pairwise":[73],"alternatives":[77],"from":[78],"positive":[80],"negative":[82],"opinions.":[83],"The":[84],"consensus":[86],"reaching":[87],"process":[88],"then":[90],"utilised":[91],"to":[92,97,104,122],"guide":[93],"revise":[98],"provided":[100,121],"information":[101],"order":[103],"reach":[105],"overall":[107],"consensus,":[109],"before":[110],"derivation":[112],"rankings":[114],"alternatives.":[117],"Experimental":[118],"studies":[119],"are":[120],"demonstrate":[123],"workings":[125],"effectiveness":[127],"two":[135],"state-of-the-art":[136],"methods.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}