{"id":68,"date":"2010-03-09T21:50:08","date_gmt":"2010-03-09T21:50:08","guid":{"rendered":"http:\/\/users.aber.ac.uk\/rkj\/test2\/?page_id=68"},"modified":"2012-08-02T10:32:41","modified_gmt":"2012-08-02T10:32:41","slug":"current","status":"publish","type":"page","link":"https:\/\/users.aber.ac.uk\/rkj\/site\/research\/current\/","title":{"rendered":"Current"},"content":{"rendered":"<h3>Fuzzy-rough methods<\/h3>\n<p>\nMuch of my current research involves the development of fuzzy-rough set theory with a view to deployment in real-world applications. The properties of fuzzy-rough sets are particularly well-suited to handling data due to its effective modelling of uncertainty.\n<\/p>\n<hr width=\"100%\"\/>\n<p>\n<b><i>Vaguely quantified rough sets (VQRS)<\/i><\/b><br \/>\n<a href=\"http:\/\/users.aber.ac.uk\/rkj\/research\/VQRS.jpg\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/users.aber.ac.uk\/rkj\/research\/VQRS.jpg\" height=\"100\" width=\"140\" align=\"center\"><\/a><br \/>\n<a href=\"http:\/\/users.aber.ac.uk\/rkj\/research\/VQRS2.jpg\"target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/users.aber.ac.uk\/rkj\/research\/VQRS2.jpg\" height=\"100\" width=\"140\" align=\"center\"><\/a><br \/>\n(VQRS lower and upper approximations)<br \/>\n<br clear=all><br \/>\nAlthough fuzzy-rough sets can handle uncertainty present in data quite well, it is still possible that rogue objects can adversely affect the resulting models. VQRS attempts to address this by using <i>fuzzy quantifiers<\/i> to determine inclusion and overlap. The two movies below show how these methods compare in modelling the classification surfacefor the first two features in the Iris dataset. <\/p>\n<p><a href=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movies\/frs_0004.wmv\"><img decoding=\"async\" src=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movie.jpg\" >FRS (wmv)<\/a><br \/>\n<a href=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movies\/frs_0004.mp4\"><img decoding=\"async\" src=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movie.jpg\" >FRS (mp4)<\/a><br \/>\n<a href=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movies\/vqrs_0001.wmv\"><img decoding=\"async\" src=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movie.jpg\" >VQRS (wmv)<\/a><br \/>\n<a href=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movies\/vqrs_0001.mp4\"><img decoding=\"async\" src=\"http:\/\/users.aber.ac.uk\/rkj\/research\/movie.jpg\" >VQRS (mp4)<\/a><br \/>\n<br clear=all>\n<\/p>\n<hr width=\"100%\"\/>\n<p>\n<b><i>Fuzzy-rough feature selection<\/i><\/b><br \/>\n<a href=\"http:\/\/users.aber.ac.uk\/rkj\/research\/FRS.jpg\"><img src = \"http:\/\/users.aber.ac.uk\/rkj\/research\/FRS.jpg\" width=\"135\" height=\"99\" align=\"left\"><\/a><br \/>\nThis is currently the most successful application of fuzzy-rough set theory.<br \/>\n<br clear=all>\n<\/p>\n<hr width=\"100%\"\/>\n<p>\n<b><i>Fuzzy-rough classification<\/i><\/b><br \/>\nThe way that fuzzy-rough set are defined naturally lead to developing nearest neighbour style approaches to classification. This has been applied to mammographic image analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fuzzy-rough methods Much of my current research involves the development of fuzzy-rough set theory with a view to deployment in real-world applications. The properties of fuzzy-rough sets are particularly well-suited to handling data due to its effective modelling of uncertainty. &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"more-link\" href=\"https:\/\/users.aber.ac.uk\/rkj\/site\/research\/current\/\"> <span class=\"screen-reader-text\">Current<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":66,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-68","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages\/68","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/comments?post=68"}],"version-history":[{"count":2,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages\/68\/revisions"}],"predecessor-version":[{"id":328,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages\/68\/revisions\/328"}],"up":[{"embeddable":true,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages\/66"}],"wp:attachment":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/media?parent=68"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}