乐胖代购免代理版

{"id":"https://openalex.org/W2040561205","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891587","title":"Analysis of fuzzy cognitive maps with multi-step learning algorithms in valuation of owner-occupied homes","display_name":"Analysis of fuzzy cognitive maps with multi-step learning algorithms in valuation of owner-occupied homes","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2040561205","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891587","mag":"2040561205"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891587","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056178652","display_name":"Katarzyna Pocz\u0119ta","orcid":"https://orcid.org/0000-0002-1446-491X"},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"funder","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Katarzyna Poczeta","raw_affiliation_strings":["Department of Computer Science Applications, Kielce University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Applications, Kielce University of Technology, Poland","institution_ids":["https://openalex.org/I169109204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069697261","display_name":"Alexander Yastrebov","orcid":"https://orcid.org/0000-0002-3260-8462"},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"funder","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Alexander Yastrebov","raw_affiliation_strings":["Department of Computer Science Applications, Kielce University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Applications, Kielce University of Technology, Poland","institution_ids":["https://openalex.org/I169109204"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.578,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":15,"citation_normalized_percentile":{"value":0.693248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":null,"issue":null,"first_page":"1029","last_page":"1035"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9999,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9999,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9386,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9137,"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/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.897426},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.46586445},{"id":"https://openalex.org/keywords/cognitive-map","display_name":"Cognitive map","score":0.45116216}],"concepts":[{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.897426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69050956},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.647187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5627524},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.52832144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.52290505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5089917},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.48586553},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.47942322},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.46586445},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.45116216},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.35481197},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3457343},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.21341926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14708924},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891587","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1510897401","https://openalex.org/W1567783255","https://openalex.org/W1578549529","https://openalex.org/W182935035","https://openalex.org/W1967034721","https://openalex.org/W1968447051","https://openalex.org/W1977575836","https://openalex.org/W1983585289","https://openalex.org/W1995145426","https://openalex.org/W1998818887","https://openalex.org/W2006368845","https://openalex.org/W2007793895","https://openalex.org/W2024826298","https://openalex.org/W2026070608","https://openalex.org/W2029469881","https://openalex.org/W2030565807","https://openalex.org/W2056217570","https://openalex.org/W2069178824","https://openalex.org/W2081232506","https://openalex.org/W2098701811","https://openalex.org/W2107259654","https://openalex.org/W2111949539","https://openalex.org/W2117079902","https://openalex.org/W2122699244","https://openalex.org/W2124776405","https://openalex.org/W2142129696","https://openalex.org/W2145013414","https://openalex.org/W2288369914","https://openalex.org/W4164934","https://openalex.org/W785303931"],"related_works":["https://openalex.org/W4387853727","https://openalex.org/W4321853849","https://openalex.org/W4309221285","https://openalex.org/W3180828476","https://openalex.org/W3023217638","https://openalex.org/W2896927215","https://openalex.org/W2769949722","https://openalex.org/W2590565095","https://openalex.org/W2372922208","https://openalex.org/W2171186173"],"abstract_inverted_index":{"In":[0],"the":[1,45,50,58,61,66,78,95,98,114,117],"paper":[2],"some":[3],"analysis":[4,37],"of":[5,38,47,49,52,54,68,80,97,108,116],"multi-step":[6,17,99],"learning":[7,19,31,55],"algorithms":[8],"for":[9,65],"fuzzy":[10],"cognitive":[11],"map":[12],"(FCM)":[13],"is":[14],"given.":[15],"FCMs,":[16],"supervised":[18],"based":[20,27,85],"on":[21,28,60,86],"gradient":[22],"method":[23],"and":[24,57,112],"unsupervised":[25],"one":[26],"nonlinear":[29],"Hebbian":[30],"(NHL)":[32],"algorithm":[33,56],"are":[34],"described.":[35],"Comparative":[36],"these":[39],"methods":[40],"to":[41,104],"one-step":[42],"algorithms,":[43],"from":[44],"point":[46],"view":[48],"speed":[51],"convergence":[53],"influence":[59],"decision":[62],"support":[63],"system":[64],"valuation":[67],"owner-occupied":[69],"homes":[70],"was":[71],"performed.":[72],"Simulation":[73],"results":[74,92],"were":[75],"obtained":[76],"with":[77],"use":[79],"ISEMK":[81],"(Intelligent":[82],"Expert":[83],"System":[84],"Cognitive":[87],"Maps)":[88],"software":[89],"tool.":[90],"The":[91],"show":[93],"that":[94],"implementation":[96],"technique":[100],"gives":[101],"certain":[102],"possibilities":[103],"get":[105],"quicker":[106],"values":[107],"target":[109],"FCM":[110],"relations":[111],"improve":[113],"operation":[115],"learned":[118],"system.":[119]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2040561205","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-04-18T22:53:33.464049","created_date":"2016-06-24"}