{"created":"2021-03-01T07:02:14.987604+00:00","id":42368,"links":{},"metadata":{"_buckets":{"deposit":"ed3ba857-69b5-43f6-aa32-fccc0102189d"},"_deposit":{"id":"42368","owners":[],"pid":{"revision_id":0,"type":"depid","value":"42368"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00042368","sets":["62:7433:7434","9:7435:7436"]},"item_8_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-04","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"CIRJE-F-411","bibliographic_titles":[{"bibliographic_title":"Discussion paper series. CIRJE-F"}]}]},"item_8_description_13":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_8_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper presents a hybrid model for predicting the occurrence of currency crises by using the neuro fuzzy modeling approach. The model integrates the learning ability of neural network with the inference mechanism of fuzzy logic. The empirical results show that the proposed neuro fuzzy model leads to a better prediction of crisis. Significantly, the model can also construct a reliable causal relationship among the variables through the obtained knowledge base. Compared to the traditionally used techniques such as logit, the proposed model can thus lead to a somewhat more prescriptive modeling approach towards finding ways to prevent currency crises.","subitem_description_type":"Abstract"}]},"item_8_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"本文フィルはリンク先を参照のこと","subitem_description_type":"Other"}]},"item_8_publisher_20":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本経済国際共同センター"}]},"item_8_relation_25":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.cirje.e.u-tokyo.ac.jp/research/dp/2006/2006cf411ab.html","subitem_relation_type_select":"URI"}}]},"item_8_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11450569","subitem_source_identifier_type":"NCID"}]},"item_8_subject_15":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"330","subitem_subject_scheme":"NDC"}]},"item_8_text_21":{"attribute_name":"出版者別名","attribute_value_mlt":[{"subitem_text_value":"Center for International Research on the Japanese Economy"}]},"item_8_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"National Chung Hsing University"},{"subitem_text_value":"University of Tokyo"},{"subitem_text_value":"Providence University"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Lin, Chin-Shien"}],"nameIdentifiers":[{"nameIdentifier":"97548","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Haider, A.  Khan"}],"nameIdentifiers":[{"nameIdentifier":"97549","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ying-Chieh, Wang"}],"nameIdentifiers":[{"nameIdentifier":"97550","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ruei-Yuan, Chang"}],"nameIdentifiers":[{"nameIdentifier":"97551","nameIdentifierScheme":"WEKO"}]}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"currency crises","subitem_subject_scheme":"Other"},{"subitem_subject":"neuro fuzzy","subitem_subject_scheme":"Other"},{"subitem_subject":"signal approach","subitem_subject_scheme":"Other"},{"subitem_subject":"Logit","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"technical report","resourceuri":"http://purl.org/coar/resource_type/c_18gh"}]},"item_title":"A New Approach to Modeling Early Warning Systems for Currency Crises : can a machine-learning fuzzy expert system predict the currency crises effectively?","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A New Approach to Modeling Early Warning Systems for Currency Crises : can a machine-learning fuzzy expert system predict the currency crises effectively?"}]},"item_type_id":"8","owner":"1","path":["7436","7434"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-06-03"},"publish_date":"2013-06-03","publish_status":"0","recid":"42368","relation_version_is_last":true,"title":["A New Approach to Modeling Early Warning Systems for Currency Crises : can a machine-learning fuzzy expert system predict the currency crises effectively?"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T04:17:35.692901+00:00"}