{"id":"https://openalex.org/W2054888639","doi":"https://doi.org/10.1080/00207720500382290","title":"Entropy for fuzzy regression analysis","display_name":"Entropy for fuzzy regression analysis","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2054888639","doi":"https://doi.org/10.1080/00207720500382290","mag":"2054888639"},"language":"en","primary_location":{"id":"doi:10.1080/00207720500382290","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720500382290","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},"type":"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/A5103084597","display_name":"Chiang Kao","orcid":"https://orcid.org/0000-0003-0515-0107"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chiang Kao","raw_affiliation_strings":["Department of Industrial and Information Management , National Cheng Kung University , Tainan, Taiwan, Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management , National Cheng Kung University , Tainan, Taiwan, Republic of China","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056882004","display_name":"Pei-Huang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Huang Lin","raw_affiliation_strings":["Department of Industrial and Information Management , National Cheng Kung University , Tainan, Taiwan, Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management , National Cheng Kung University , Tainan, Taiwan, Republic of China","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103084597"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.3294,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.61960649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":"14","first_page":"869","last_page":"876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.998199999332428,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9945999979972839,"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/mathematics","display_name":"Mathematics","score":0.7261171340942383},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.602635383605957},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5980685353279114},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5802136063575745},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.5542529821395874},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4919585883617401},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.47097137570381165},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4699288308620453},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43434906005859375},{"id":"https://openalex.org/keywords/fuzzy-mathematics","display_name":"Fuzzy mathematics","score":0.41616901755332947},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35978206992149353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33525434136390686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19703131914138794}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7261171340942383},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.602635383605957},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5980685353279114},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5802136063575745},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.5542529821395874},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4919585883617401},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.47097137570381165},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4699288308620453},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43434906005859375},{"id":"https://openalex.org/C166586474","wikidata":"https://www.wikidata.org/wiki/Q5511129","display_name":"Fuzzy mathematics","level":5,"score":0.41616901755332947},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35978206992149353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33525434136390686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19703131914138794},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1080/00207720500382290","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720500382290","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1975595793","https://openalex.org/W1981551863","https://openalex.org/W2016525755","https://openalex.org/W2018714386","https://openalex.org/W2019950953","https://openalex.org/W2020610055","https://openalex.org/W2023948527","https://openalex.org/W2040121225","https://openalex.org/W2046307773","https://openalex.org/W2046989272","https://openalex.org/W2047777882","https://openalex.org/W2056611606","https://openalex.org/W2069069851","https://openalex.org/W2070338099","https://openalex.org/W2074128934","https://openalex.org/W2080471525","https://openalex.org/W2095578821","https://openalex.org/W2100284472","https://openalex.org/W2122450421","https://openalex.org/W2151584114","https://openalex.org/W2496352033","https://openalex.org/W4230588984","https://openalex.org/W4238919913","https://openalex.org/W4300491437"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W1485268022","https://openalex.org/W1975005191","https://openalex.org/W2253053392","https://openalex.org/W2331106272","https://openalex.org/W3176863924","https://openalex.org/W1542808721","https://openalex.org/W2674573885"],"abstract_inverted_index":{"Prediction":[0],"by":[1,35,45],"regression":[2,13,58,103],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7],"intelligent":[8],"systems.":[9],"To":[10],"construct":[11],"a":[12,21,84,110],"model":[14],"for":[15],"fuzzy":[16,22,50,73,80,87,97,111,118],"numbers,":[17],"this":[18],"paper":[19],"decomposes":[20],"number":[23,112],"into":[24],"two":[25],"parts:":[26],"the":[27,36,43,46,49,64,67,72,79,90,95,102,106,116],"position":[28,68,91],"and":[29,42,76,92,113],"fuzziness.":[30],"The":[31,56],"former":[32],"is":[33,60,120],"represented":[34],"elements":[37],"with":[38],"membership":[39],"value":[40],"1":[41],"latter":[44],"entropy":[47,93],"of":[48,71,78,86,94],"number;":[51],"both":[52],"have":[53],"crisp":[54],"values.":[55],"conventional":[57],"analysis":[59],"applied":[61],"to":[62],"find":[63],"relationship":[65],"between":[66,109],"(and":[69],"entropy)":[70],"response":[74,119],"variable":[75],"that":[77],"explanatory":[81,88],"variables.":[82],"Given":[83],"set":[85],"variables,":[89],"estimated":[96,117],"responses":[98],"are":[99],"calculated":[100],"from":[101],"model.":[104],"Via":[105],"one-to-one":[107],"correspondence":[108],"its":[114],"entropy,":[115],"obtained.":[121]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
