{"id":7792,"date":"2021-02-26T11:15:41","date_gmt":"2021-02-26T10:15:41","guid":{"rendered":"https:\/\/www.kde.cs.uni-kassel.de\/?p=7792"},"modified":"2023-09-29T09:01:36","modified_gmt":"2023-09-29T07:01:36","slug":"logical-scale-measures","status":"publish","type":"post","link":"https:\/\/www.kde.cs.uni-kassel.de\/en\/blog\/2021\/02\/26\/logical-scale-measures","title":{"rendered":"Logische Repr\u00e4sentationen f\u00fcr Skalenma\u00dfe"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Logische Repr\u00e4sentationen f\u00fcr Skalenma\u00dfe<\/h3>\n\n\n\n<p>Eine Methode der Datenskalierung in der Formalen Begriffsanalyse sind Skalenma\u00dfe. Das Skalenma\u00df-Framework bietet eine kanonische Repr\u00e4sentation f\u00fcr jede m\u00f6gliche Skalierung. Diese Repr\u00e4sentation ist aber nicht gut im Sinne der Interpretierbarkeit der Attribute. Um dieses Problem zu l\u00f6sen, gibt es eine Interpretation der kanonischen Attribute mittels konjunktiv verkn\u00fcpfter Attribute des Originaldatensatzes. In dieser Arbeit sollen Sie weitere logische Repr\u00e4sentation erarbeiten und miteinander auf deren Interpretierbarkeit, Ausdrucksst\u00e4rke und Berechenbarkeit vergleichen.<\/p>\n\n\n\n<p>Informationen: <a href=\"https:\/\/www.kde.cs.uni-kassel.de\/hirth\">Johannes Hirth<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Logische Repr\u00e4sentationen f\u00fcr Skalenma\u00dfe Eine Methode der Datenskalierung in der Formalen Begriffsanalyse sind Skalenma\u00dfe. Das Skalenma\u00df-Framework bietet eine kanonische Repr\u00e4sentation f\u00fcr jede m\u00f6gliche Skalierung. Diese Repr\u00e4sentation ist aber nicht gut im Sinne der Interpretierbarkeit der<a class=\"moretag\" href=\"https:\/\/www.kde.cs.uni-kassel.de\/en\/blog\/2021\/02\/26\/logical-scale-measures\"> Read more&hellip;<\/a><\/p>\n","protected":false},"author":17,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,34,35],"tags":[51,47,49,52,48],"class_list":["post-7792","post","type-post","status-publish","format-standard","hentry","category-allgemein","category-methodischer-schwerpunkt","category-technischer-schwerpunkt","tag-ws2022-23","tag-ss2021","tag-ss2022","tag-ss2023","tag-ws2021-22"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"en","enabled_languages":["de","en"],"languages":{"de":{"title":true,"content":true,"excerpt":false},"en":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/posts\/7792","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/comments?post=7792"}],"version-history":[{"count":5,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/posts\/7792\/revisions"}],"predecessor-version":[{"id":9411,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/posts\/7792\/revisions\/9411"}],"wp:attachment":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/media?parent=7792"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/categories?post=7792"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/tags?post=7792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}