{"created":"2023-05-15T14:21:39.335907+00:00","id":3387,"links":{},"metadata":{"_buckets":{"deposit":"634a911f-f6c4-4a8d-b113-1214daecdcac"},"_deposit":{"created_by":3,"id":"3387","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"3387"},"status":"published"},"_oai":{"id":"oai:bunkyo.repo.nii.ac.jp:00003387","sets":["1:26:195"]},"author_link":["4362"],"item_5_biblio_info_13":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1990-01-01"},"bibliographicPageEnd":"68","bibliographicPageStart":"51","bibliographicVolumeNumber":"11","bibliographic_titles":[{"bibliographic_title":"情報研究"},{"bibliographic_title":"Information and Communication Studies"}]}]},"item_5_date_43":{"attribute_name":"作成日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2012-01-17"}]},"item_5_description_12":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"　We point out three following matters : ( 1 ) It does not necessarily follow that a similarity-measure is defined between two any patterns. ( 2 ) The measure have only to be defined between any pattern and a typical pattern of any category. ( 3 ) The measure have to be defined using a perceptual representation of any pattern, that is, a model of any pattern.\n　It is the purpose of the present paper to propose by the use of membership-coefficients the measure which satisfies three above matters and to compute by means of a computer simulation membership-equivocations and amounts of recognitive information of isolated Japanese vowels as input patterns. The equivocation is defined as an entropy function of the measure, and the amount as a Kullback discriminant function of the measure.\n　We pay attention to the following request : An amount of selfinformation must be obtained as a logarithmic function of the reciprocal of an occurrence-probability of a category if a system recognizes that an input pattern belongs to the category. The request can be explained sufficiently with such an amount of recognitive information.","subitem_description_type":"Abstract"}]},"item_5_description_38":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_5_source_id_19":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"03893367"}]},"item_5_text_39":{"attribute_name":"本文言語","attribute_value_mlt":[{"subitem_text_value":"日本語"}]},"item_5_text_42":{"attribute_name":"ID","attribute_value_mlt":[{"subitem_text_value":"BKSJ110005"}]},"item_5_text_7":{"attribute_name":"Author","attribute_value_mlt":[{"subitem_text_value":"Suzuki, Shoichi"}]},"item_5_text_8":{"attribute_name":"所属機関","attribute_value_mlt":[{"subitem_text_value":"文教大学情報学部"}]},"item_5_text_9":{"attribute_name":"Institution","attribute_value_mlt":[{"subitem_text_value":"Bunkyo University Faculty of Information and Communications"}]},"item_5_version_type_35":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 昇一"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-03-24"}],"displaytype":"detail","filename":"BKSJ110005.pdf","filesize":[{"value":"924.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"BKSJ110005.pdf","url":"https://bunkyo.repo.nii.ac.jp/record/3387/files/BKSJ110005.pdf"},"version_id":"aa2d0c8b-67aa-4fd3-8c10-9d80f6e956b6"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"帰属係数法に基づく類似度,帰属関係あいまい度,認識情報量の計算機シミュレーション","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"帰属係数法に基づく類似度,帰属関係あいまい度,認識情報量の計算機シミュレーション"},{"subitem_title":"Similarity, Membership Equivocation and Amount of Recognitive Information Relating to Membership Coefficient Method and its Computer Simulation"}]},"item_type_id":"5","owner":"3","path":["195"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-01-17"},"publish_date":"2012-01-17","publish_status":"0","recid":"3387","relation_version_is_last":true,"title":["帰属係数法に基づく類似度,帰属関係あいまい度,認識情報量の計算機シミュレーション"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-05-16T14:35:11.836502+00:00"}