{"created":"2025-01-19T00:07:51.736207+00:00","updated":"2025-01-21T00:54:52.266161+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00128510","sets":["6504:8089:8094"]},"path":["8094"],"owner":"1","recid":"128510","title":["あいまいデータをもとにしたファジィルールのチューニング手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"1995-09-20"},"_buckets":{"deposit":"9b8133a5-2403-4f35-bf06-9b853655b0b2"},"_deposit":{"id":"128510","pid":{"type":"depid","value":"128510","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"あいまいデータをもとにしたファジィルールのチューニング手法","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"あいまいデータをもとにしたファジィルールのチューニング手法"},{"subitem_title":"A Tuning Method Based on Fuzzy Data","subitem_title_language":"en"}]},"item_type_id":"22","publish_date":"1995-09-20","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"(株)インテック・システム研究所"},{"subitem_text_value":"(株)インテック・システム研究所"},{"subitem_text_value":"(株)インテック・システム研究所"}]},"item_22_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"INTEC Systems Laboratory","subitem_text_language":"en"},{"subitem_text_value":"INTEC Systems Laboratory","subitem_text_language":"en"},{"subitem_text_value":"INTEC Systems Laboratory","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/128510/files/KJ00001334789.pdf"},"date":[{"dateType":"Available","dateValue":"1995-09-20"}],"format":"application/pdf","filename":"KJ00001334789.pdf","filesize":[{"value":"147.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"fe99ff31-695d-4f8b-bae1-01bf6196c6c9","displaytype":"detail","licensetype":"license_note"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ファジィ理論が提唱されてから30年あまりが経ち、制御分野を中心に数多くのシステムが実用化されている。また、これまで試行錯誤に頼らざるを得なかったファジィルールのチューニングに関してもニューロ技術を用いることにより自動的に行うことが可能となってきた。しかし、これまで提案されてきたチューニング手法は制御分野、つまり入出力の学習データが実数値である場合に限られ、意思決定問題など、学習データ自体にあいまいさの伴った場合のチューニング手法については何ら論議がされていない。本論文では、あいまいさを伴った学習データをもとにファジィルールのチューニングを行う手法を提案する。なお、本手法は推論方法、implication関数に依存しない。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"138","bibliographic_titles":[{"bibliographic_title":"全国大会講演論文集"}],"bibliographicPageStart":"137","bibliographicIssueDates":{"bibliographicIssueDate":"1995-09-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"人工知能と認知科学","bibliographicVolumeNumber":"第51回"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":128510,"links":{}}