{"id":"https://openalex.org/W4319074343","doi":"https://doi.org/10.3233/jifs-221424","title":"Similarity measure-based three-way decisions in Pythagorean fuzzy information systems and its application in FANETs","display_name":"Similarity measure-based three-way decisions in Pythagorean fuzzy information systems and its application in FANETs","publication_year":2023,"publication_date":"2023-02-03","ids":{"openalex":"https://openalex.org/W4319074343","doi":"https://doi.org/10.3233/jifs-221424"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-221424","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-221424","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 &amp; 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/A5100417652","display_name":"Jiajia Zhou","orcid":"https://orcid.org/0000-0003-4705-1166"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia-Jia Zhou","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, P.R. China","School of Computer Science, Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006814445","display_name":"Yian Zhu","orcid":"https://orcid.org/0000-0001-6564-5756"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-An Zhu","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, P.R. China","School of Computer Science, Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108999977","display_name":"Lian Li","orcid":"https://orcid.org/0009-0009-8823-4015"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Li","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi\u2019an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091390209","display_name":"Xianchen Shi","orcid":"https://orcid.org/0000-0001-6959-6218"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Chen Shi","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, P.R. China","School of Computer Science, Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100417652"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.7589,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73629304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"44","issue":"5","first_page":"7153","last_page":"7168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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":0.9955999851226807,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9832000136375427,"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/pythagorean-theorem","display_name":"Pythagorean theorem","score":0.7943463325500488},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6690889000892639},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6629759073257446},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6112077236175537},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5652806758880615},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5352673530578613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5342048406600952},{"id":"https://openalex.org/keywords/pythagorean-triple","display_name":"Pythagorean triple","score":0.5272342562675476},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5148190855979919},{"id":"https://openalex.org/keywords/binary-relation","display_name":"Binary relation","score":0.5058383941650391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4473766088485718},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4436435103416443},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4231986999511719},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41948190331459045},{"id":"https://openalex.org/keywords/equivalence-relation","display_name":"Equivalence relation","score":0.41638270020484924},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.4119178056716919},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40377277135849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40172404050827026},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.17435932159423828},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09753769636154175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07115152478218079}],"concepts":[{"id":"https://openalex.org/C100461760","wikidata":"https://www.wikidata.org/wiki/Q11518","display_name":"Pythagorean theorem","level":2,"score":0.7943463325500488},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6690889000892639},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6629759073257446},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6112077236175537},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5652806758880615},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5352673530578613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5342048406600952},{"id":"https://openalex.org/C80918210","wikidata":"https://www.wikidata.org/wiki/Q208225","display_name":"Pythagorean triple","level":3,"score":0.5272342562675476},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5148190855979919},{"id":"https://openalex.org/C65180967","wikidata":"https://www.wikidata.org/wiki/Q130901","display_name":"Binary relation","level":2,"score":0.5058383941650391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4473766088485718},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4436435103416443},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4231986999511719},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41948190331459045},{"id":"https://openalex.org/C156103551","wikidata":"https://www.wikidata.org/wiki/Q130998","display_name":"Equivalence relation","level":2,"score":0.41638270020484924},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.4119178056716919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40377277135849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40172404050827026},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.17435932159423828},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09753769636154175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07115152478218079},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-221424","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-221424","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 &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W101345952","https://openalex.org/W341374992","https://openalex.org/W964455177","https://openalex.org/W1131999718","https://openalex.org/W1668569279","https://openalex.org/W1808687169","https://openalex.org/W1829951598","https://openalex.org/W1969463949","https://openalex.org/W1977880445","https://openalex.org/W1988794238","https://openalex.org/W1990116832","https://openalex.org/W2006873874","https://openalex.org/W2013932252","https://openalex.org/W2023750115","https://openalex.org/W2029677459","https://openalex.org/W2036789112","https://openalex.org/W2037053120","https://openalex.org/W2070449754","https://openalex.org/W2070813883","https://openalex.org/W2083521084","https://openalex.org/W2084718108","https://openalex.org/W2089923511","https://openalex.org/W2170853747","https://openalex.org/W2176795090","https://openalex.org/W2261233885","https://openalex.org/W2297889545","https://openalex.org/W2412590235","https://openalex.org/W2737801118","https://openalex.org/W2758872644","https://openalex.org/W2763102103","https://openalex.org/W2770194470","https://openalex.org/W2783418118","https://openalex.org/W2791630676","https://openalex.org/W2813852899","https://openalex.org/W2887732625","https://openalex.org/W2899640688","https://openalex.org/W2942289617","https://openalex.org/W2947331910","https://openalex.org/W2997628228","https://openalex.org/W3135997392","https://openalex.org/W3146750421","https://openalex.org/W3173014225","https://openalex.org/W3184000577","https://openalex.org/W3207474194","https://openalex.org/W3210442615","https://openalex.org/W3212040537","https://openalex.org/W4200056336","https://openalex.org/W4200489079","https://openalex.org/W4211007335","https://openalex.org/W4220784876","https://openalex.org/W4220976005","https://openalex.org/W4255833381","https://openalex.org/W4280569459","https://openalex.org/W6625353058","https://openalex.org/W6693325699","https://openalex.org/W6747616575","https://openalex.org/W6753931314","https://openalex.org/W6802492222"],"related_works":["https://openalex.org/W3038906685","https://openalex.org/W2392975301","https://openalex.org/W2259363500","https://openalex.org/W2387543012","https://openalex.org/W2620974800","https://openalex.org/W2790200812","https://openalex.org/W2368479431","https://openalex.org/W4280581009","https://openalex.org/W4287077343","https://openalex.org/W3182949439"],"abstract_inverted_index":{"The":[0],"existing":[1],"researchers":[2],"generalize":[3],"the":[4,11,14,18,35,40,49,52,65,78,90,94,116,120,129,144,152,162,187],"decision-theoretic":[5],"rough":[6],"sets":[7],"(DTRSs)":[8],"model":[9],"from":[10],"viewpoint":[12],"of":[13,27,42,51,147,165,189],"cost":[15],"function,":[16],"whether":[17],"information":[19,87],"system":[20],"is":[21,60],"complete,":[22],"and":[23,93,128,179],"so":[24],"on.":[25],"Few":[26],"them":[28],"consider":[29],"multiple":[30],"different":[31,110],"strategies":[32,111],"to":[33,114,142,157],"rank":[34,115],"expected":[36,117],"losses.":[37,118],"Furthermore,":[38],"under":[39,186],"circumstance":[41],"Pythagorean":[43,85,132,137,190],"fuzzy,":[44],"we":[45,76],"can\u2019t":[46],"directly":[47],"define":[48],"partition":[50],"objects":[53],"set":[54],"by":[55,99],"employing":[56],"equivalence":[57],"relation,":[58],"there":[59],"a":[61],"need":[62],"for":[63,160],"constructing":[64],"general":[66],"binary":[67,91],"relation.":[68],"Aiming":[69],"at":[70],"these":[71],"problems,":[72],"in":[73,84],"present":[74],"paper,":[75],"propose":[77],"similarity":[79,95,100,121,130,148],"measure-based":[80,122,131,149],"three-way":[81],"decisions":[82,159],"(3WD)":[83],"fuzzy":[86,133,138,191],"systems,":[88],"both":[89],"relation":[92],"neighborhood":[96],"are":[97,112,140,155],"induced":[98],"measure":[101],"between":[102],"objects.":[103],"Each":[104],"object":[105],"has":[106],"its":[107],"own":[108],"losses,":[109],"designed":[113],"Further,":[119],"DTRSs":[123,134],"dealing":[124,135],"with":[125,136],"crisp":[126],"concept":[127,139],"developed":[141],"establish":[143],"three":[145],"regions":[146],"3WD.":[150],"Finally,":[151],"proposed":[153],"models":[154],"used":[156],"make":[158],"classifying":[161],"network":[163],"nodes":[164,172,181,185],"flying":[166],"ad-hoc":[167],"networks":[168],"(FANETs)":[169],"into":[170],"normal":[171],"also":[173,182],"called":[174,183],"safe":[175],"nodes,":[176,178],"suspicious":[177],"malicious":[180],"unsafe":[184],"evaluation":[188],"information.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
