{"id":4316,"date":"2018-06-04T13:39:56","date_gmt":"2018-06-04T05:39:56","guid":{"rendered":"https:\/\/www.zlaire.net\/events\/previous\/?p=4316"},"modified":"2018-10-14T23:40:08","modified_gmt":"2018-10-14T15:40:08","slug":"tianhua-chen","status":"publish","type":"post","link":"https:\/\/www.zlaire.net\/events\/previous\/2018\/06\/tianhua-chen\/","title":{"rendered":"Tianhua Chen: Induction of Accurate and Interpretable Fuzzy Rules from Preliminary Crisp Representation"},"content":{"rendered":"<p><strong>\u897f\u6eaa\u903b\u8f91\u8bba\u575b\u7b2c88\u671f<br \/>\n<\/strong><\/p>\n<p><a href=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/poster-88.jpg\"><img decoding=\"async\" class=\"size-medium wp-image-4334 alignright lazyload\" data-src=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/poster-88-212x300.jpg\" alt=\"\" width=\"212\" height=\"300\" data-srcset=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/poster-88-212x300.jpg 212w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/poster-88-768x1086.jpg 768w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/poster-88-724x1024.jpg 724w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/poster-88.jpg 1448w\" data-sizes=\"(max-width: 212px) 100vw, 212px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 212px; --smush-placeholder-aspect-ratio: 212\/300;\" \/><\/a><strong>Date:<\/strong> 8 June 2018 (10:00-11:30)<br \/>\n<strong>Venue:<\/strong> Room 259, Main Teaching Building, Xixi Campus, Zhejiang University<br \/>\n<strong>Speaker:<\/strong>\u00a0Dr. Tianhua Chen (University\u00a0of\u00a0Huddersfield)<br \/>\n<strong>Title:<\/strong> Induction of Accurate and Interpretable Fuzzy Rules from Preliminary Crisp Representation<br \/>\n<strong>Abstract:\u00a0<\/strong>One of the main advantages of fuzzy modelling lies in the interpretability, such that they can formulate knowledge with linguistic fuzzy rules to gain insights into behaviours of a complex system. In order to build transparent knowledge-based systems, the work reported here induces fuzzy rules via making use of only predefined fuzzy labels that reflect prescribed notations and domain expertise, thereby ensuring transparency in the knowledge model adopted for problem solving. Systematic experimental results are provided to demonstrate that the induced fuzzy knowledge base is of high performance and interpretability.<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG81.jpeg\"><img decoding=\"async\" class=\"aligncenter size-medium wp-image-4346 lazyload\" data-src=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG81-300x225.jpeg\" alt=\"\" width=\"300\" height=\"225\" data-srcset=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG81-300x225.jpeg 300w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG81-768x576.jpeg 768w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG81-1024x768.jpeg 1024w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG81.jpeg 2048w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/225;\" \/><\/a> <a href=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG82.jpeg\"><img decoding=\"async\" class=\"aligncenter size-medium wp-image-4347 lazyload\" data-src=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG82-300x225.jpeg\" alt=\"\" width=\"300\" height=\"225\" data-srcset=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG82-300x225.jpeg 300w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG82-768x576.jpeg 768w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG82-1024x768.jpeg 1024w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG82.jpeg 2048w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/225;\" \/><\/a> <a href=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG79.jpeg\"><img decoding=\"async\" class=\"aligncenter size-medium wp-image-4348 lazyload\" data-src=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG79-300x225.jpeg\" alt=\"\" width=\"300\" height=\"225\" data-srcset=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG79-300x225.jpeg 300w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG79-768x576.jpeg 768w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG79-1024x768.jpeg 1024w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG79.jpeg 2048w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/225;\" \/><\/a> <a href=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG78.jpeg\"><img decoding=\"async\" class=\"aligncenter size-medium wp-image-4349 lazyload\" data-src=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG78-300x205.jpeg\" alt=\"\" width=\"300\" height=\"205\" data-srcset=\"https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG78-300x205.jpeg 300w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG78-768x526.jpeg 768w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG78-1024x701.jpeg 1024w, https:\/\/www.zlaire.net\/events\/previous\/wp-content\/uploads\/2018\/06\/WechatIMG78.jpeg 2048w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/205;\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u897f\u6eaa\u903b\u8f91\u8bba\u575b\u7b2c88\u671f Date: 8 June 2018 (10:00-11:30) Venue: Room 259, Main Teaching Building, Xixi Campus, Zhejiang University Speaker:\u00a0Dr. Tianhua Chen (University\u00a0of\u00a0Huddersfield) Title: Induction of Accurate and Interpretable Fuzzy Rules from Preliminary Crisp Representation Abstract:\u00a0One of the main advantages of fuzzy modelling <span class=\"excerpt-dots\">&hellip;<\/span> <a class=\"more-link\" href=\"https:\/\/www.zlaire.net\/events\/previous\/2018\/06\/tianhua-chen\/\"><span class=\"more-msg\">Continue reading &rarr;<\/span><\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4316","post","type-post","status-publish","format-standard","hentry","category-invited-talks"],"_links":{"self":[{"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/posts\/4316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/comments?post=4316"}],"version-history":[{"count":10,"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/posts\/4316\/revisions"}],"predecessor-version":[{"id":4642,"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/posts\/4316\/revisions\/4642"}],"wp:attachment":[{"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/media?parent=4316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/categories?post=4316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.zlaire.net\/events\/previous\/wp-json\/wp\/v2\/tags?post=4316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}