{"id":"https://openalex.org/W1869368361","doi":"https://doi.org/10.1007/978-0-387-77253-0_30","title":"Optimized Selection of Wetland Water Quality Monitoring Points Based on Information Entropy and Fuzzy Similarity","display_name":"Optimized Selection of Wetland Water Quality Monitoring Points Based on Information Entropy and Fuzzy Similarity","publication_year":2008,"publication_date":"2008-03-24","ids":{"openalex":"https://openalex.org/W1869368361","doi":"https://doi.org/10.1007/978-0-387-77253-0_30","mag":"1869368361"},"language":"en","primary_location":{"id":"doi:10.1007/978-0-387-77253-0_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77253-0_30","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_30.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_30.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077994352","display_name":"Xinjian Xiang","orcid":"https://orcid.org/0000-0001-8226-3960"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinjian Xiang","raw_affiliation_strings":["College of Automation & Electrical Engineering, Zhejiang University of Science and Technology, China","Zhejiang University of science & technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation & Electrical Engineering, Zhejiang University of Science and Technology, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang University of science & technology","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077994352"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"983","last_page":"991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13909","display_name":"Environmental Quality and Pollution","score":0.899399995803833,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13909","display_name":"Environmental Quality and Pollution","score":0.899399995803833,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/entropy","display_name":"Entropy (arrow of time)","score":0.5930777192115784},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5430992245674133},{"id":"https://openalex.org/keywords/water-quality","display_name":"Water quality","score":0.5155829787254333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5095739364624023},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47823184728622437},{"id":"https://openalex.org/keywords/wetland","display_name":"Wetland","score":0.41775739192962646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39578261971473694},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.38560760021209717},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.23680740594863892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1704382598400116}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5930777192115784},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5430992245674133},{"id":"https://openalex.org/C2780797713","wikidata":"https://www.wikidata.org/wiki/Q625376","display_name":"Water quality","level":2,"score":0.5155829787254333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5095739364624023},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47823184728622437},{"id":"https://openalex.org/C67715294","wikidata":"https://www.wikidata.org/wiki/Q170321","display_name":"Wetland","level":2,"score":0.41775739192962646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39578261971473694},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.38560760021209717},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.23680740594863892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1704382598400116},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-0-387-77253-0_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77253-0_30","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_30.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-0-387-77253-0_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77253-0_30","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_30.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1869368361.pdf","grobid_xml":"https://content.openalex.org/works/W1869368361.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2365143306"],"related_works":["https://openalex.org/W2381193838","https://openalex.org/W2383007022","https://openalex.org/W1995429609","https://openalex.org/W2367678540","https://openalex.org/W2376642692","https://openalex.org/W1992980705","https://openalex.org/W2388744186","https://openalex.org/W2355754934","https://openalex.org/W1504540281","https://openalex.org/W2390294057"],"abstract_inverted_index":{"Known":[0],"as":[1,12],"the":[2,44,97,101,112],"kidney":[3],"of":[4,48,58,66,123],"earth,":[5],"wetland":[6,35,59,67],"has":[7],"significant":[8],"ecological":[9,45],"functions":[10],"such":[11],"freshwater":[13],"conservation,":[14],"poison":[15],"elimination,":[16],"carbon":[17],"storage,":[18],"water":[19,60,68],"quality":[20,41,69],"purification,":[21],"flood":[22],"storage":[23],"and":[24,29,53,55,89,115,163,165],"drought":[25],"control,":[26],"climate":[27],"regulation":[28],"remaining":[30],"biodiversity":[31],"etc.":[32],"So":[33],"protecting":[34,37],"is":[36,73,93,127,138,144,161],"ourselves.":[38],"Water":[39],"environment":[40,46],"best":[42],"reflects":[43],"condition":[47],"wetland.":[49],"According":[50,95],"to":[51,96,131,168],"multi-index":[52,77],"Spatial":[54],"Temporal":[56],"variation":[57],"pollution,":[61],"combining":[62],"optimized":[63],"selection":[64],"requirements":[65],"monitoring,":[70],"fuzzy":[71,83,117,121,133],"similarity":[72,84,118,122],"propose.":[74],"Through":[75],"constructing":[76],"monitoring":[78,125,136,172],"data":[79,88],"samples":[80],"Decision-making":[81],"Matrix,":[82],"matrix":[85],"between":[86],"sample":[87,116],"their":[90],"mean":[91],"values":[92],"established.":[94],"index":[98,102,113],"value":[99],"variation,":[100],"weights":[103],"are":[104],"calculated":[105],"based":[106],"on":[107],"information":[108],"entropy":[109],"theory.":[110],"With":[111],"weight":[114],"matrix,":[119],"comprehensive":[120,132],"each":[124,135,147],"point":[126,137],"calculated.":[128],"Finally,":[129],"according":[130],"similarity,":[134],"reasonably":[139],"clustered,":[140],"then":[141],"representative":[142],"points":[143],"selected":[145],"from":[146],"category,":[148],"so":[149],"distribution":[150],"optimization":[151],"could":[152],"be":[153],"realized.":[154],"Practical":[155],"running":[156],"proves":[157],"that":[158],"this":[159],"scheme":[160],"simple":[162],"feasible,":[164],"extensionally":[166],"applied":[167],"optimize":[169],"other":[170],"environmental":[171],"points.":[173]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}