{"id":"https://openalex.org/W2904918373","doi":"https://doi.org/10.3390/sym10120768","title":"Degree Approximation-Based Fuzzy Partitioning Algorithm and Applications in Wheat Production Prediction","display_name":"Degree Approximation-Based Fuzzy Partitioning Algorithm and Applications in Wheat Production Prediction","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W2904918373","doi":"https://doi.org/10.3390/sym10120768","mag":"2904918373"},"language":"en","primary_location":{"id":"doi:10.3390/sym10120768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10120768","pdf_url":"https://www.mdpi.com/2073-8994/10/12/768/pdf?version=1545126063","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/10/12/768/pdf?version=1545126063","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100652974","display_name":"Rachna Jain","orcid":"https://orcid.org/0000-0002-1819-550X"},"institutions":[{"id":"https://openalex.org/I4405259495","display_name":"Bharati Vidyapeeth's College of Engineering, Delhi","ror":"https://ror.org/02akhpg19","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405259495"]},{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rachna Jain","raw_affiliation_strings":["Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi 110012, India","Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi 110012, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi 110012, India","institution_ids":["https://openalex.org/I887998513"]},{"raw_affiliation_string":"Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi 110012, India","institution_ids":["https://openalex.org/I4405259495","https://openalex.org/I887998513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072826581","display_name":"Nikita Jain","orcid":"https://orcid.org/0000-0001-9043-2971"},"institutions":[{"id":"https://openalex.org/I4405259495","display_name":"Bharati Vidyapeeth's College of Engineering, Delhi","ror":"https://ror.org/02akhpg19","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405259495"]},{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nikita Jain","raw_affiliation_strings":["Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi 110012, India","Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi 110012, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi 110012, India","institution_ids":["https://openalex.org/I887998513"]},{"raw_affiliation_string":"Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi 110012, India","institution_ids":["https://openalex.org/I4405259495","https://openalex.org/I887998513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007266018","display_name":"Shivani Kapania","orcid":"https://orcid.org/0000-0002-0152-4311"},"institutions":[{"id":"https://openalex.org/I4405259495","display_name":"Bharati Vidyapeeth's College of Engineering, Delhi","ror":"https://ror.org/02akhpg19","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405259495"]},{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shivani Kapania","raw_affiliation_strings":["Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi 110012, India","Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi 110012, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Bharati Vidyapeeth\u2019s College of Engineering, New Delhi 110012, India","institution_ids":["https://openalex.org/I887998513"]},{"raw_affiliation_string":"Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi 110012, India","institution_ids":["https://openalex.org/I4405259495","https://openalex.org/I887998513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008082871","display_name":"L\u00ea Ho\u00e0ng S\u01a1n","orcid":"https://orcid.org/0000-0001-6356-0046"},"institutions":[{"id":"https://openalex.org/I141445968","display_name":"Ton Duc Thang University","ror":"https://ror.org/01drq0835","country_code":"VN","type":"education","lineage":["https://openalex.org/I141445968"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Le Hoang Son","raw_affiliation_strings":["Division of Data Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam","Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Data Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam","institution_ids":["https://openalex.org/I141445968"]},{"raw_affiliation_string":"Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam","institution_ids":["https://openalex.org/I141445968"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008082871"],"corresponding_institution_ids":["https://openalex.org/I141445968"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.1198,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84556285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"12","first_page":"768","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9973999857902527,"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/T10320","display_name":"Neural Networks and Applications","score":0.9901000261306763,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.96670001745224,"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/algorithm","display_name":"Algorithm","score":0.6077802181243896},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5521494150161743},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.5475021004676819},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.52657151222229},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4845656454563141},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48199477791786194},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.45977768301963806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44339117407798767},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.44195735454559326},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.43907010555267334},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4323121905326843},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4306044280529022},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3454674780368805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21865716576576233},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19847863912582397},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08677023649215698}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6077802181243896},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5521494150161743},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.5475021004676819},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.52657151222229},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4845656454563141},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48199477791786194},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.45977768301963806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44339117407798767},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.44195735454559326},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.43907010555267334},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4323121905326843},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4306044280529022},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3454674780368805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21865716576576233},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19847863912582397},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08677023649215698},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym10120768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10120768","pdf_url":"https://www.mdpi.com/2073-8994/10/12/768/pdf?version=1545126063","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cf69c986aa2d44b7ad5415285c8393dc","is_oa":true,"landing_page_url":"https://doaj.org/article/cf69c986aa2d44b7ad5415285c8393dc","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 10, Iss 12, p 768 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/10/12/768/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/sym10120768","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym10120768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10120768","pdf_url":"https://www.mdpi.com/2073-8994/10/12/768/pdf?version=1545126063","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904918373.pdf","grobid_xml":"https://content.openalex.org/works/W2904918373.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W23132399","https://openalex.org/W158623576","https://openalex.org/W184415407","https://openalex.org/W1489782390","https://openalex.org/W1500091096","https://openalex.org/W1512098262","https://openalex.org/W1565071190","https://openalex.org/W1570834090","https://openalex.org/W1585231467","https://openalex.org/W1586003742","https://openalex.org/W1603746922","https://openalex.org/W1793999168","https://openalex.org/W1977326290","https://openalex.org/W1984503224","https://openalex.org/W1987509628","https://openalex.org/W1992096620","https://openalex.org/W1993503008","https://openalex.org/W2000953693","https://openalex.org/W2012516102","https://openalex.org/W2013512018","https://openalex.org/W2016301458","https://openalex.org/W2041723679","https://openalex.org/W2050288270","https://openalex.org/W2052369115","https://openalex.org/W2085818893","https://openalex.org/W2095558420","https://openalex.org/W2096507750","https://openalex.org/W2107257765","https://openalex.org/W2127495420","https://openalex.org/W2130519559","https://openalex.org/W2131453387","https://openalex.org/W2144863577","https://openalex.org/W2148145079","https://openalex.org/W2149320615","https://openalex.org/W2162635690","https://openalex.org/W2168577773","https://openalex.org/W2408484610","https://openalex.org/W2460369835","https://openalex.org/W2529367412","https://openalex.org/W2538341951","https://openalex.org/W2540140736","https://openalex.org/W2542842028","https://openalex.org/W2549117318","https://openalex.org/W2559814147","https://openalex.org/W2605522824","https://openalex.org/W2612520647","https://openalex.org/W2737006144","https://openalex.org/W2744710572","https://openalex.org/W2751807166","https://openalex.org/W2755522004","https://openalex.org/W2762077894","https://openalex.org/W2769973569","https://openalex.org/W2773239019","https://openalex.org/W2780640153","https://openalex.org/W2795707107","https://openalex.org/W2797086020","https://openalex.org/W2801912503","https://openalex.org/W2883287022","https://openalex.org/W2885444376","https://openalex.org/W2886553429","https://openalex.org/W2889263681","https://openalex.org/W2890763248","https://openalex.org/W2963577256","https://openalex.org/W4235143601","https://openalex.org/W4236596013","https://openalex.org/W4241443503","https://openalex.org/W4243779775","https://openalex.org/W6634915880","https://openalex.org/W6634940605","https://openalex.org/W6674313616"],"related_works":["https://openalex.org/W2150798635","https://openalex.org/W2080650820","https://openalex.org/W1489782390","https://openalex.org/W1964982224","https://openalex.org/W2354329565","https://openalex.org/W2386131991","https://openalex.org/W2365729238","https://openalex.org/W1768477193","https://openalex.org/W126601891","https://openalex.org/W1971293923"],"abstract_inverted_index":{"Recently,":[0],"prediction":[1,79],"modelling":[2],"has":[3],"become":[4],"important":[5],"in":[6,98,115,158],"data":[7,66,132],"analysis.":[8],"In":[9],"this":[10],"paper,":[11],"we":[12,41],"propose":[13],"a":[14,103],"novel":[15],"algorithm":[16,45,150],"to":[17,53,88,101,130,137],"analyze":[18],"the":[19,70,95,122,139,154],"past":[20],"dataset":[21],"of":[22,32,94,160],"crop":[23],"yields":[24,28],"and":[25,112,118,143,165],"predict":[26],"future":[27],"using":[29],"regression-based":[30],"approximation":[31,133],"time":[33,60,64],"series":[34,61,65],"fuzzy":[35,49,59,104],"data.":[36,62],"A":[37,125],"framework-based":[38],"algorithm,":[39],"which":[40],"named":[42],"DAbFP":[43],"(data":[44],"for":[46,78,106],"degree":[47],"approximation-based":[48],"partitioning),":[50],"is":[51,151],"proposed":[52,149],"forecast":[54],"wheat":[55],"yield":[56],"production":[57],"with":[58,153],"Specifically,":[63],"were":[67,81],"fuzzified":[68],"by":[69],"simple":[71],"maximum-based":[72],"generalized":[73],"mean":[74,161],"function.":[75],"Different":[76],"cases":[77],"values":[80],"evaluated":[82],"based":[83],"on":[84],"two-set":[85],"interval-based":[86],"partitioning":[87],"get":[89],"accurate":[90,145],"results.":[91],"The":[92,148],"novelty":[93],"method":[96],"lies":[97],"its":[99],"ability":[100],"approximate":[102],"relation":[105],"forecasting":[107,167],"that":[108],"provides":[109],"lesser":[110,126],"complexity":[111,127],"higher":[113],"accuracy":[114],"linear,":[116],"cubic,":[117],"quadratic":[119],"order":[120],"than":[121],"existing":[123,156],"methods.":[124],"as":[128],"compared":[129,152],"dynamic":[131],"makes":[134],"it":[135],"easier":[136],"find":[138],"suitable":[140],"de-fuzzification":[141],"process":[142],"obtain":[144],"predicted":[146],"values.":[147],"latest":[155],"frameworks":[157],"terms":[159],"square":[162],"error":[163,168],"(MSE)":[164],"average":[166],"rate":[169],"(AFER).":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
