{"id":"https://openalex.org/W3017601611","doi":"https://doi.org/10.1109/access.2020.2989831","title":"Information Entropy Multi-Decision Attribute Reduction Fuzzy Rough Set for Dust Particulate Imagery Characteristic Extraction","display_name":"Information Entropy Multi-Decision Attribute Reduction Fuzzy Rough Set for Dust Particulate Imagery Characteristic Extraction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3017601611","doi":"https://doi.org/10.1109/access.2020.2989831","mag":"3017601611"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2989831","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989831","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076628.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076628.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100401076","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0001-9702-0435"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi\u2019an University of Science and Technology, Xi\u2019an, China","College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9702-0435","affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi\u2019an University of Science and Technology, Xi\u2019an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087416701","display_name":"Xu Zheng","orcid":"https://orcid.org/0000-0002-9733-6795"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Zheng","raw_affiliation_strings":["Shaanxi Institute for Food and Drug Control, Xi\u2019an, China","Shaanxi Institute for Food and Drug Control, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9733-6795","affiliations":[{"raw_affiliation_string":"Shaanxi Institute for Food and Drug Control, Xi\u2019an, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Institute for Food and Drug Control, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033310298","display_name":"Hongguang Pan","orcid":"https://orcid.org/0000-0002-0390-6188"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongguang Pan","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi\u2019an University of Science and Technology, Xi\u2019an, China","College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0390-6188","affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi\u2019an University of Science and Technology, Xi\u2019an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100601016","display_name":"Dongyan Li","orcid":"https://orcid.org/0000-0002-4003-3507"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Li","raw_affiliation_strings":["College of Electrical and Control Engineering, Xi\u2019an University of Science and Technology, Xi\u2019an, China","College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4003-3507","affiliations":[{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi\u2019an University of Science and Technology, Xi\u2019an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6244,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.67373105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"77865","last_page":"77874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6825699806213379},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6197654604911804},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.6012858152389526},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5545852184295654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5356143712997437},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5275630354881287},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5233632326126099},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5143221616744995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48006924986839294},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47378015518188477},{"id":"https://openalex.org/keywords/particulates","display_name":"Particulates","score":0.4597163200378418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45284736156463623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4446229338645935},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.4391283392906189},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41566744446754456},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.34439435601234436},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09320038557052612}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6825699806213379},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6197654604911804},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.6012858152389526},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5545852184295654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5356143712997437},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5275630354881287},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5233632326126099},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5143221616744995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48006924986839294},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47378015518188477},{"id":"https://openalex.org/C24245907","wikidata":"https://www.wikidata.org/wiki/Q498957","display_name":"Particulates","level":2,"score":0.4597163200378418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45284736156463623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4446229338645935},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.4391283392906189},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41566744446754456},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.34439435601234436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09320038557052612},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2989831","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989831","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076628.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:187b42d2c47b48e7aba96a67b78698b2","is_oa":true,"landing_page_url":"https://doaj.org/article/187b42d2c47b48e7aba96a67b78698b2","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":"IEEE Access, Vol 8, Pp 77865-77874 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2989831","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989831","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076628.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4194147240","display_name":null,"funder_award_id":"2018BSHEDZZ124","funder_id":"https://openalex.org/F4320326174","funder_display_name":"Shaanxi Province Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7441470112","display_name":null,"funder_award_id":"51804249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8427654948","display_name":null,"funder_award_id":"2017M623207","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8863948850","display_name":null,"funder_award_id":"2018YQ2-07","funder_id":"https://openalex.org/F4320325422","funder_display_name":"Xi'an University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320325422","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18"},{"id":"https://openalex.org/F4320326174","display_name":"Shaanxi Province Postdoctoral Science Foundation","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3017601611.pdf","grobid_xml":"https://content.openalex.org/works/W3017601611.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W587586912","https://openalex.org/W1992199002","https://openalex.org/W1999548343","https://openalex.org/W2002920017","https://openalex.org/W2005178109","https://openalex.org/W2010593620","https://openalex.org/W2013093119","https://openalex.org/W2016474245","https://openalex.org/W2019379038","https://openalex.org/W2022655397","https://openalex.org/W2040730297","https://openalex.org/W2083190850","https://openalex.org/W2137107555","https://openalex.org/W2203801461","https://openalex.org/W2300712633","https://openalex.org/W2470167798","https://openalex.org/W2608511530","https://openalex.org/W2779138100","https://openalex.org/W2792613771","https://openalex.org/W2796330245","https://openalex.org/W2896257829","https://openalex.org/W2910031485","https://openalex.org/W2911270920","https://openalex.org/W2952956425","https://openalex.org/W2963641474","https://openalex.org/W2978670810","https://openalex.org/W2978977631","https://openalex.org/W3004517429","https://openalex.org/W3007159319","https://openalex.org/W3146433441","https://openalex.org/W3152476821"],"related_works":["https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W2919163928","https://openalex.org/W2129446955","https://openalex.org/W2018750854","https://openalex.org/W4390066334","https://openalex.org/W2154788453","https://openalex.org/W4236695056","https://openalex.org/W87675884","https://openalex.org/W154406135"],"abstract_inverted_index":{"High-precision":[0],"extraction":[1],"of":[2,46,57,85,96,111,139,179],"particulate":[3,15,38],"characteristic":[4],"modes":[5],"is":[6,33,127],"essential":[7],"for":[8,89,129,149,156,163],"dust":[9,90,113],"explosion":[10],"safety":[11],"measurements,":[12],"such":[13],"as":[14],"concentration":[16],"and":[17,65,161],"size":[18],"distribution.":[19],"A":[20],"new":[21],"solution":[22],"based":[23],"on":[24],"information":[25,67,116,190],"entropy":[26,68,117,191],"multi-decision":[27],"attribute":[28,63,99,106,182],"reduction":[29,171,192],"fuzzy":[30,83,94,105],"rough":[31],"set":[32],"proposed":[34,54,132,170],"to":[35,102,120],"analyse":[36],"the":[37,44,82,86,97,104,109,122,188,196,201],"morphology":[39],"characteristics,":[40],"which":[41,126],"effectively":[42],"avoids":[43],"shortcomings":[45],"traditional":[47],"technology":[48],"(low":[49],"accuracy,":[50],"stochasticity,":[51],"etc.).":[52],"The":[53,71,93,131,143,169,184],"approach":[55,172],"consists":[56],"three":[58],"stages:":[59],"membership":[60,72,87],"function":[61,79],"modelling,":[62],"reduction,":[64],"maximum":[66,123,189],"threshold":[69],"segmentation.":[70],"coefficient":[73],"was":[74,100,118],"determined":[75,101],"with":[76,115],"a":[77,137,174],"multi-segment":[78],"by":[80],"developing":[81],"degree":[84],"model":[88,110,193],"image":[91,141],"pixels.":[92],"dependence":[95],"conditional":[98],"extract":[103,121],"reduction.":[107],"Finally,":[108],"coal":[112],"particulates":[114],"improved":[119],"segmentation":[124],"threshold,":[125],"significant":[128],"classification.":[130],"methods":[133],"were":[134],"evaluated":[135],"over":[136],"sequence":[138],"30":[140],"sets.":[142],"unclassified":[144],"rate":[145],"evaluation":[146],"reached":[147],"0.978":[148],"particle":[150,164],"sizes":[151,165],"\u2265":[152],"200":[153,159],"\u03bcm,":[154,158],"0.958":[155],"[75":[157],"\u03bcm]":[160],"0.950":[162],"<;":[166],"75":[167],"\u03bcm.":[168],"offered":[173],"performance":[175],"improvement":[176],"in":[177],"terms":[178],"more":[180],"important":[181],"implementation.":[183],"paper":[185],"demonstrated":[186],"that":[187],"can":[194],"remove":[195],"redundant":[197],"attributes":[198],"without":[199],"compromising":[200],"precision.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}