{"id":"https://openalex.org/W4213002322","doi":"https://doi.org/10.15439/2021b5","title":"Using the generalized fuzzy k-nearest neighbor classifier for biomass feedstocks classification","display_name":"Using the generalized fuzzy k-nearest neighbor classifier for biomass feedstocks classification","publication_year":2022,"publication_date":"2022-02-16","ids":{"openalex":"https://openalex.org/W4213002322","doi":"https://doi.org/10.15439/2021b5"},"language":"en","primary_location":{"id":"doi:10.15439/2021b5","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2021b5","pdf_url":"https://annals-csis.org/proceedings/knowcon2021/drp/pdf/5.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/knowcon2021/drp/pdf/5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040694494","display_name":"Mahinda Mailagaha Kumbure","orcid":"https://orcid.org/0000-0002-2849-4917"},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mahinda Mailagaha Kumbure","raw_affiliation_strings":["LUT University Yliopistonkatu 34, 53850 Lappeenranta, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LUT University Yliopistonkatu 34, 53850 Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069244594","display_name":"Pasi Luukka","orcid":"https://orcid.org/0000-0003-0124-6646"},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pasi Luukka","raw_affiliation_strings":["LUT University Yliopistonkatu 34, 53850 Lappeenranta, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LUT University Yliopistonkatu 34, 53850 Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.265,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7114211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"29","issue":null,"first_page":"29","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.6164000034332275,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.6164000034332275,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.7111249566078186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6061164736747742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6007161736488342},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.598034143447876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5070977210998535},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4600484371185303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32227015495300293}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.7111249566078186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6061164736747742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6007161736488342},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.598034143447876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070977210998535},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4600484371185303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32227015495300293}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15439/2021b5","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2021b5","pdf_url":"https://annals-csis.org/proceedings/knowcon2021/drp/pdf/5.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:0b57582c97164778b2b3abef73c61628","is_oa":false,"landing_page_url":"https://doaj.org/article/0b57582c97164778b2b3abef73c61628","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 29, Pp 29-35 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2021b5","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2021b5","pdf_url":"https://annals-csis.org/proceedings/knowcon2021/drp/pdf/5.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213002322.pdf","grobid_xml":"https://content.openalex.org/works/W4213002322.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1970143525","https://openalex.org/W1973760516","https://openalex.org/W1981552604","https://openalex.org/W1981985637","https://openalex.org/W2040895929","https://openalex.org/W2047007942","https://openalex.org/W2091248159","https://openalex.org/W2115075302","https://openalex.org/W2122111042","https://openalex.org/W2941281473","https://openalex.org/W2965691341","https://openalex.org/W2973185050","https://openalex.org/W3010849585","https://openalex.org/W3019944201","https://openalex.org/W3091883341","https://openalex.org/W3104887532","https://openalex.org/W3109072952","https://openalex.org/W3153385444","https://openalex.org/W3173968286","https://openalex.org/W3200089571","https://openalex.org/W3202418456","https://openalex.org/W3203139833","https://openalex.org/W4235494400","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2785302227","https://openalex.org/W2046803187","https://openalex.org/W2354127086","https://openalex.org/W4309224981","https://openalex.org/W2107754327","https://openalex.org/W2062957446","https://openalex.org/W2166213322","https://openalex.org/W2049864679","https://openalex.org/W2147397890","https://openalex.org/W2155880659"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,8,134,177,202],"novel":[4],"framework":[5],"based":[6,64],"on":[7,65],"recently":[9],"introduced":[10],"classifier":[11],"called":[12],"multi-local":[13,44],"power":[14,45],"mean":[15,46],"fuzzy":[16,155],"k-nearest":[17,153,156],"neighbor":[18],"(MLPM-FKNN)":[19],"and":[20,48,101,120,137,172,197],"the":[21,49,54,59,66,69,73,77,83,86,102,110,117,124,129,138,142,148,166,170,189,192,209],"Minkowski":[22,50],"distance":[23,51,56,62],"to":[24,41,57,76],"classify":[25],"biomass":[26,91,105,111,130,181,206],"feedstocks":[27,131,207],"into":[28],"property-based":[29],"classes.":[30],"The":[31],"proposed":[32,87,143,167],"approach":[33,88,144,168],"uses":[34],"k":[35],"nearest":[36,74],"neighbors":[37,75],"from":[38,94,116,151,188,194,212],"each":[39,213],"class":[40],"compute":[42],"class-representative":[43],"vectors":[47],"instead":[52],"of":[53,68,85,109,141,205,214],"Euclidean":[55],"fit":[58],"most":[60],"suitable":[61,178],"metric":[63],"properties":[67],"data":[70,79],"in":[71,98],"finding":[72],"new":[78],"point.":[80],"We":[81],"evaluate":[82],"performance":[84,140],"using":[89],"three":[90],"datasets":[92],"collected":[93],"several":[95],"articles":[96],"published":[97],"reputable":[99],"journals":[100],"Phyllis":[103],"2":[104],"database.":[106],"Input":[107],"features":[108,193,210],"samples":[112],"include":[113],"their":[114],"characteristics":[115],"proximate":[118,198],"analysis":[119],"ultimate":[121,196],"analysis.":[122],"In":[123],"developed":[125],"framework,":[126],"we":[127],"interpret":[128],"classification":[132,139,182,204],"as":[133,176],"five-class":[135],"problem,":[136],"is":[145,185],"benchmarked":[146],"with":[147],"results":[149,163,190],"obtained":[150],"classical":[152],"neighbor-,":[154],"neighbor-and":[157],"support":[158],"vector":[159],"machine":[160],"classifiers.":[161],"Experimental":[162],"show":[164],"that":[165,191],"outperforms":[169],"benchmarks":[171],"verify":[173],"its":[174],"effectiveness":[175],"tool":[179],"for":[180],"problems.":[183],"It":[184],"also":[186],"evident":[187],"both":[195],"analyses":[199,216],"can":[200],"offer":[201],"better":[203],"than":[208],"considered":[211],"those":[215],"separately.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
