{"id":"https://openalex.org/W4315777941","doi":"https://doi.org/10.1109/icnsc55942.2022.10004180","title":"A novel MADM method of interval 2-tuple q-rung orthopair fuzzy sets and GRA for DFD schemes","display_name":"A novel MADM method of interval 2-tuple q-rung orthopair fuzzy sets and GRA for DFD schemes","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4315777941","doi":"https://doi.org/10.1109/icnsc55942.2022.10004180"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc55942.2022.10004180","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnsc55942.2022.10004180","pdf_url":null,"source":{"id":"https://openalex.org/S4363608241","display_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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/A5115594257","display_name":"Honghao Zhang","orcid":"https://orcid.org/0000-0003-0421-2070"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghao Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education),Jinan,China,250061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education),Jinan,China,250061","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037848843","display_name":"Zhongwei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Huang","raw_affiliation_strings":["School of Mechanical Engineering, Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education),Jinan,China,250061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education),Jinan,China,250061","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050198482","display_name":"Guangdong Tian","orcid":"https://orcid.org/0000-0001-9794-294X"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangdong Tian","raw_affiliation_strings":["School of Mechanical-Electrical and Vehicle Engineering, Beijing University of Civil Engineering and Architecture,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical-Electrical and Vehicle Engineering, Beijing University of Civil Engineering and Architecture,Beijing,China,100044","institution_ids":["https://openalex.org/I62853816"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9977999925613403,"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":0.9977999925613403,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12945","display_name":"Quality Function Deployment in Product Design","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grey-relational-analysis","display_name":"Grey relational analysis","score":0.7277646064758301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6192439794540405},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5773329138755798},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.568673849105835},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5660836696624756},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5651330351829529},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5000607967376709},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.48941007256507874},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46320095658302307},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.45899349451065063},{"id":"https://openalex.org/keywords/weight","display_name":"Weight","score":0.4499814808368683},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3959653079509735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3225574493408203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32211437821388245},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09341749548912048},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09006288647651672}],"concepts":[{"id":"https://openalex.org/C64734493","wikidata":"https://www.wikidata.org/wiki/Q5608296","display_name":"Grey relational analysis","level":2,"score":0.7277646064758301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6192439794540405},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5773329138755798},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.568673849105835},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5660836696624756},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5651330351829529},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5000607967376709},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.48941007256507874},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46320095658302307},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.45899349451065063},{"id":"https://openalex.org/C183877218","wikidata":"https://www.wikidata.org/wiki/Q7979858","display_name":"Weight","level":3,"score":0.4499814808368683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3959653079509735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3225574493408203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32211437821388245},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09341749548912048},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09006288647651672},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C51568863","wikidata":"https://www.wikidata.org/wiki/Q664495","display_name":"Lie algebra","level":2,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc55942.2022.10004180","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnsc55942.2022.10004180","pdf_url":null,"source":{"id":"https://openalex.org/S4363608241","display_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2023877874","https://openalex.org/W2033401964","https://openalex.org/W2055244441","https://openalex.org/W2233608660","https://openalex.org/W2793014487","https://openalex.org/W2802926601","https://openalex.org/W2886908423","https://openalex.org/W2928609844","https://openalex.org/W2931224425","https://openalex.org/W2970980240","https://openalex.org/W2972259087","https://openalex.org/W2991010562","https://openalex.org/W3095324896","https://openalex.org/W3201592669","https://openalex.org/W4205410970","https://openalex.org/W4210835717","https://openalex.org/W4283319562","https://openalex.org/W4288062480","https://openalex.org/W6760945800"],"related_works":["https://openalex.org/W2922097266","https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W2138823233","https://openalex.org/W1979740464","https://openalex.org/W2143345456","https://openalex.org/W1789991335","https://openalex.org/W2885480708","https://openalex.org/W2562731034","https://openalex.org/W2043277481"],"abstract_inverted_index":{"Design":[0],"for":[1,61,88],"disassembly":[2,63,120],"(DFD)":[3],"is":[4,35,80],"a":[5,58,97],"basic":[6],"design":[7,121],"technology":[8],"serving":[9],"the":[10,19,24,40,50,62,74,83,89,92,104,107,119],"scrap":[11],"and":[12,22,45,100],"recycling":[13],"stages,":[14],"which":[15,71],"can":[16,72,116],"well":[17],"relieve":[18],"environmental":[20],"pressure":[21],"improve":[23],"economic":[25],"benefits.":[26],"The":[27,78],"interval":[28],"2-tuple":[29],"q-rung":[30],"orthopair":[31],"fuzzy":[32],"sets":[33],"(I2q-ROFSs)":[34],"proposed":[36,108],"to":[37],"better":[38],"describe":[39],"vague":[41],"of":[42,66,91,106],"human":[43],"thinking":[44],"avoid":[46],"information":[47,51],"loss/distortion":[48],"during":[49],"aggregation":[52],"phase.":[53],"Then,":[54],"this":[55],"paper":[56],"proposes":[57],"weight":[59,76],"method":[60,69,115],"technical":[64],"features":[65],"best":[67,75],"worst":[68],"(BWM),":[70],"get":[73],"vector.":[77],"12q-ROFSs":[79],"combined":[81],"with":[82],"grey":[84],"relational":[85],"analysis":[86,102],"(GRA)":[87],"evaluation":[90,114],"DFD":[93,113],"scheme.":[94],"Finally,":[95],"conducting":[96],"case":[98],"study":[99],"sensitivity":[101],"demonstrates":[103],"effectiveness":[105],"method.":[109],"Thus,":[110],"an":[111],"effective":[112],"effectively":[117],"solve":[118],"scheme":[122],"selection":[123],"problem.":[124]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}