{"created":"2025-01-19T01:04:40.280524+00:00","updated":"2025-01-19T21:03:13.886339+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00201401","sets":["6164:6165:6462:10022"]},"path":["10022"],"owner":"44499","recid":"201401","title":["二次元的トラスト表現法の比較 —FCR法とSubjective Logic"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-10-14"},"_buckets":{"deposit":"aa56d249-b194-4bd5-8923-be72acf032a6"},"_deposit":{"id":"201401","pid":{"type":"depid","value":"201401","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"二次元的トラスト表現法の比較 —FCR法とSubjective Logic","author_link":["492375","492376","492365","492372","492366","492373","492369","492367","492374","492370","492368","492371"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"二次元的トラスト表現法の比較 —FCR法とSubjective Logic"},{"subitem_title":"Comparing Two-Dimensional Trust Representations —FCR- and Subjective-Logic-Based Approaches","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"トラスト，FCR法，ファジィ理論，Subjective Logic，無関心と矛盾","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2019-10-14","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"愛知工業大学 情報科学部"},{"subitem_text_value":"大阪大学大学院"},{"subitem_text_value":"静岡大学大学院"},{"subitem_text_value":"静岡大学大学院"},{"subitem_text_value":"大阪大学大学院"},{"subitem_text_value":"愛知工業大学 経営学部"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Information Science, Aichi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Technology, Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Technology, Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Department of Business Administration, Aichi Institute of Technology","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/201401/files/IPSJCSS2019108.pdf","label":"IPSJCSS2019108.pdf"},"date":[{"dateType":"Available","dateValue":"2021-10-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJCSS2019108.pdf","filesize":[{"value":"612.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a6bef7c6-0e3d-449a-9264-d6a2ca617edc","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"河辺, 義信"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小泉, 佑揮"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大木, 哲史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西垣, 正勝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長谷川, 享"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小田, 哲久"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yoshinobu, Kawabe","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuki, Koizumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsushi, Ohki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masakatsu, Nishigaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toru, Hasegawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsuhisa, Oda","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_18_relation_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_select":"NCID","subitem_relation_type_id_text":"ISSN　1882-0840"}}]},"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，小田によるファジィ多項目並列評定法（FCR法）とJosangのSubjective Logicを，二次元的なトラスト値の表現法としての観点から比較する．両手法とも，「信頼度」と「不信度」の2軸に基づき，トラスト値を表現できる．また，両手法とも対象に対する無関心（「知らない人物に対しては，信頼も不信もない」など）を扱える．しかし一方で，矛盾したトラスト（「ある人物に対して，基本的には信頼しているが，じつは心の中では同時に不信感も持っている」など）を扱えるのは，FCR法に基づくアプローチのみである．本稿では，両手法の共通点と相違点について検討する．とくに，FCR法とSubjective Logicでは，時系列を追ったトラスト値の計算について，異なる前提をおいていると考えられる．トラスト形成の典型的なシナリオ例を考えながら，これについても議論する．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper compares two approaches for trust computations - Oda's fuzzy-set concurrent rating (FCR) method and Josang's subjective logic. In both approaches, a trust value is represented as a pair of the degrees of \"trust\" and \"distrust,\" and we can deal with the ignorant trust (e.g. \"Since I have never met him, I have no impression of him.\"). However, we cannot deal with the confusional trust (e.g. \"Although he can basically be trusted, in some cases he is not trustworthy\") in the subjective-logic-based approach, while we can do in the FCR-based approach. In this paper, we discuss the difference of the approaches. Especially, the FCR- and subjective-logic-based approaches have different assumptions about trust computations. Showing the typical scenarios about trust computations, we also discuss the assumptions.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"771","bibliographic_titles":[{"bibliographic_title":"コンピュータセキュリティシンポジウム2019論文集"}],"bibliographicPageStart":"764","bibliographicIssueDates":{"bibliographicIssueDate":"2019-10-14","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":201401,"links":{}}