{"id":"https://openalex.org/W4376115351","doi":"https://doi.org/10.3390/su15107765","title":"Hybrid Intuitionistic Fuzzy Entropy-SWARA-COPRAS Method for Multi-Criteria Sustainable Biomass Crop Type Selection","display_name":"Hybrid Intuitionistic Fuzzy Entropy-SWARA-COPRAS Method for Multi-Criteria Sustainable Biomass Crop Type Selection","publication_year":2023,"publication_date":"2023-05-09","ids":{"openalex":"https://openalex.org/W4376115351","doi":"https://doi.org/10.3390/su15107765"},"language":"en","primary_location":{"id":"doi:10.3390/su15107765","doi":"https://doi.org/10.3390/su15107765","is_oa":true,"landing_page_url":"https://doi.org/10.3390/su15107765","pdf_url":"https://www.mdpi.com/2071-1050/15/10/7765/pdf?version=1683684545","source":{"id":"https://openalex.org/S10134376","display_name":"Sustainability","issn_l":"2071-1050","issn":["2071-1050"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sustainability","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2071-1050/15/10/7765/pdf?version=1683684545","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033150664","display_name":"Abbas Mardani","orcid":"https://orcid.org/0000-0003-1010-3655","observed_orcids":["https://orcid.org/0000-0003-1010-3655"]},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abbas Mardani","raw_affiliation_strings":["Business School, Worcester Polytechnic Institute, Worcester, MA 01609-2280, USA"],"raw_orcid":"https://orcid.org/0000-0003-1010-3655","affiliations":[{"raw_affiliation_string":"Business School, Worcester Polytechnic Institute, Worcester, MA 01609-2280, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006060295","display_name":"Sarita Devi","orcid":"https://orcid.org/0000-0002-0171-3454","observed_orcids":["https://orcid.org/0000-0002-0171-3454"]},"institutions":[{"id":"https://openalex.org/I2802922787","display_name":"GD Goenka University","ror":"https://ror.org/053y5dz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802922787"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarita Devi","raw_affiliation_strings":["School of Engineering and Sciences, GD Goenka University, Gurugram 122103, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Sciences, GD Goenka University, Gurugram 122103, India","institution_ids":["https://openalex.org/I2802922787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049568158","display_name":"Melfi A. Alrasheedi","orcid":"https://orcid.org/0000-0002-3911-2152","observed_orcids":["https://orcid.org/0000-0002-3911-2152"]},"institutions":[{"id":"https://openalex.org/I4626487","display_name":"King Faisal University","ror":"https://ror.org/00dn43547","country_code":"SA","type":"education","lineage":["https://openalex.org/I4626487"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Melfi Alrasheedi","raw_affiliation_strings":["Department of Quantitative Methods, School of Business, King Faisal University, Hofuf 31982, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-3911-2152","affiliations":[{"raw_affiliation_string":"Department of Quantitative Methods, School of Business, King Faisal University, Hofuf 31982, Saudi Arabia","institution_ids":["https://openalex.org/I4626487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029195670","display_name":"Leena Arya","orcid":"https://orcid.org/0000-0002-9249-732X","observed_orcids":["https://orcid.org/0000-0002-9249-732X"]},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Leena Arya","raw_affiliation_strings":["Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, India"],"raw_orcid":"https://orcid.org/0000-0002-9249-732X","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038549971","display_name":"Mrigendra Pratap Singh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mrigendra Pratap Singh","raw_affiliation_strings":["Department of Botany, Government College Raigaon, Satna 485441, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Botany, Government College Raigaon, Satna 485441, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107946378","display_name":"Kiran Pandey","orcid":"https://orcid.org/0000-0002-1837-8824","observed_orcids":["https://orcid.org/0000-0002-1837-8824"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiran Pandey","raw_affiliation_strings":["Department of Computer Science and Engineering, Technocrat Institute of Technology, Bhopal 462038, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Technocrat Institute of Technology, Bhopal 462038, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033150664"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":{"value":2200,"currency":"CHF","value_usd":2447},"apc_paid":{"value":2200,"currency":"CHF","value_usd":2447},"fwci":6.0869,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96521021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"15","issue":"10","first_page":"7765","last_page":"7765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9990000128746033,"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":0.9990000128746033,"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/T11671","display_name":"Fuzzy and Soft Set Theory","score":9.999999747378752e-05,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/biofuels","display_name":"biofuels","score":0.7170000076293945},{"id":"https://openalex.org/keywords/multi-criteria-decision-making","display_name":"multi-criteria decision making","score":0.7900000214576721},{"id":"https://openalex.org/keywords/intuitionistic-fuzzy-sets","display_name":"intuitionistic fuzzy sets","score":0.9729999899864197},{"id":"https://openalex.org/keywords/copras","display_name":"COPRAS","score":0.7490000128746033},{"id":"https://openalex.org/keywords/feature-weighting","display_name":"feature weighting","score":0.7200000286102295},{"id":"https://openalex.org/keywords/sensitivity-analysis","display_name":"sensitivity analysis","score":0.6320000290870667},{"id":"https://openalex.org/keywords/decision-making-under-uncertainty","display_name":"decision making under uncertainty","score":0.6919999718666077}],"concepts":[{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.6888953447341919},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6013228893280029},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5588623881340027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5363271236419678},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4912392497062683},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4833640456199646},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4802834689617157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35692262649536133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2687240242958069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2596837282180786},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/su15107765","doi":"https://doi.org/10.3390/su15107765","is_oa":true,"landing_page_url":"https://doi.org/10.3390/su15107765","pdf_url":"https://www.mdpi.com/2071-1050/15/10/7765/pdf?version=1683684545","source":{"id":"https://openalex.org/S10134376","display_name":"Sustainability","issn_l":"2071-1050","issn":["2071-1050"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sustainability","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jsusta:v:15:y:2023:i:10:p:7765-:d:1142791","doi":null,"is_oa":false,"landing_page_url":"https://www.mdpi.com/2071-1050/15/10/7765/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/su15107765","doi":"https://doi.org/10.3390/su15107765","is_oa":true,"landing_page_url":"https://doi.org/10.3390/su15107765","pdf_url":"https://www.mdpi.com/2071-1050/15/10/7765/pdf?version=1683684545","source":{"id":"https://openalex.org/S10134376","display_name":"Sustainability","issn_l":"2071-1050","issn":["2071-1050"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sustainability","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142},{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.4359000027179718}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376115351.pdf","grobid_xml":"https://content.openalex.org/works/W4376115351.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W609503659","https://openalex.org/W1487785133","https://openalex.org/W1883871066","https://openalex.org/W1944174706","https://openalex.org/W1969747525","https://openalex.org/W1971875039","https://openalex.org/W1975104650","https://openalex.org/W1980564456","https://openalex.org/W2025807427","https://openalex.org/W2039582982","https://openalex.org/W2048682095","https://openalex.org/W2056258586","https://openalex.org/W2059626271","https://openalex.org/W2067108250","https://openalex.org/W2090991262","https://openalex.org/W2152152959","https://openalex.org/W2163516967","https://openalex.org/W2290483478","https://openalex.org/W2486626617","https://openalex.org/W2789632984","https://openalex.org/W2801283338","https://openalex.org/W2807741641","https://openalex.org/W2891154333","https://openalex.org/W2911882602","https://openalex.org/W2944028409","https://openalex.org/W3014679663","https://openalex.org/W3028372551","https://openalex.org/W3047326222","https://openalex.org/W3084229938","https://openalex.org/W3159649021","https://openalex.org/W3166406215","https://openalex.org/W3179393967","https://openalex.org/W3184508168","https://openalex.org/W3212894108","https://openalex.org/W4200045038","https://openalex.org/W4210910035","https://openalex.org/W4211007335","https://openalex.org/W4211072234","https://openalex.org/W4214483999","https://openalex.org/W4220874001","https://openalex.org/W4221106348","https://openalex.org/W4221124471","https://openalex.org/W4223595004","https://openalex.org/W4224435799","https://openalex.org/W4280502013","https://openalex.org/W4280510224","https://openalex.org/W4283460967","https://openalex.org/W4290629459","https://openalex.org/W4293217097","https://openalex.org/W4309387149","https://openalex.org/W4312208314","https://openalex.org/W4312296087","https://openalex.org/W4313555498","https://openalex.org/W4318483162","https://openalex.org/W4322742265","https://openalex.org/W4328104866","https://openalex.org/W4362729085","https://openalex.org/W4393135121"],"related_works":["https://openalex.org/W3027192844","https://openalex.org/W4388451403","https://openalex.org/W2090991262","https://openalex.org/W4400396834","https://openalex.org/W4393135121","https://openalex.org/W4283460967","https://openalex.org/W3212894108","https://openalex.org/W4366188887","https://openalex.org/W4386100251","https://openalex.org/W4200059765"],"abstract_inverted_index":{"To":[0,34,81],"select":[1],"a":[2,19,43,149,169],"biomass":[3,151],"crop":[4,152],"type":[5],"of":[6,13,21,123,130,159,178,189,199,208,219,234,240],"the":[7,11,22,39,48,55,66,78,85,89,100,125,157,160,175,179,187,190,197,200,206,209,217,220,235,238,241,246],"highest":[8],"sustainability":[9],"for":[10],"purpose":[12],"producing":[14],"biofuel":[15],"is":[16,181],"recognized":[17],"as":[18,28,69,71],"problem":[20,154],"multi-criteria":[23],"decision":[24],"analysis":[25,94,171],"(MCDA)":[26],"type,":[27],"it":[29],"comprises":[30],"different":[31,121],"conflicting":[32],"criteria.":[33],"effectively":[35],"address":[36],"this":[37],"problem,":[38],"present":[40,242],"paper":[41,145],"introduces":[42],"novel":[44],"integrated":[45,98],"approach":[46,62,107,127,162,211,243],"using":[47,88,104],"complex":[49],"proportional":[50],"assessment":[51,92],"(COPRAS)":[52],"method":[53],"under":[54,249],"intuitionistic":[56,228],"fuzzy":[57,229],"sets":[58],"(IFSs).":[59],"The":[60,144,232],"proposed":[61,126],"works":[63],"based":[64],"on":[65],"IFSs":[67],"operators":[68],"well":[70],"an":[72,105],"innovative":[73],"process":[74],"utilized":[75],"in":[76,108,141,163,183,244],"evaluating":[77],"attributes\u2019":[79],"weights.":[80,114,215],"evaluate":[82],"these":[83],"weights,":[84],"subjective":[86,203],"weights":[87,102,204],"step-wise":[90],"weight":[91],"ratio":[93],"(SWARA)":[95],"model":[96,222],"are":[97,136,223],"with":[99,172,212],"objective":[101,201],"achieved":[103],"entropy-based":[106],"order":[109,184],"to":[110,133,138,155,174,185,225],"attain":[111],"more":[112],"realistic":[113],"As":[115],"MCDA":[116,166],"problems":[117],"inevitably":[118],"suffer":[119],"from":[120],"degrees":[122],"uncertainty,":[124],"could":[128],"be":[129],"great":[131],"help":[132],"those":[134],"who":[135],"required":[137],"make":[139],"decisions":[140],"uncertain":[142,250],"settings.":[143],"took":[146],"into":[147],"consideration":[148],"sustainable":[150],"selection":[153],"exemplify":[156],"effectiveness":[158],"presented":[161,182],"handling":[164],"real":[165],"problems.":[167],"Moreover,":[168],"sensitivity":[170],"respect":[173],"diverse":[176,213],"values":[177],"attributes":[180],"assess":[186],"stability":[188,207],"introduced":[191,210,221],"model.":[192],"This":[193],"study":[194],"reveals":[195],"that":[196],"combination":[198],"and":[202],"enhances":[205],"attribute":[214],"Finally,":[216],"results":[218],"compared":[224],"some":[226],"existing":[227],"information-based":[230],"methods.":[231],"findings":[233],"comparison":[236],"confirm":[237],"efficiency":[239],"performing":[245],"defined":[247],"tasks":[248],"environments.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-23T09:35:12.469056","created_date":"2023-05-12T00:00:00"}
