{"id":60778,"date":"2007-05-10T00:00:00","date_gmt":"2007-05-10T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/interpretable-fuzzy-systems-modeling-with-cooperation-between-expert-and-induced-knowledge-modelado-de-sistemas-borrosos-interpretables-con-cooperacion-entre-conocimiento-experto-e-inducido\/"},"modified":"2007-05-10T00:00:00","modified_gmt":"2007-05-10T00:00:00","slug":"interpretable-fuzzy-systems-modeling-with-cooperation-between-expert-and-induced-knowledge-modelado-de-sistemas-borrosos-interpretables-con-cooperacion-entre-conocimiento-experto-e-inducido","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/interpretable-fuzzy-systems-modeling-with-cooperation-between-expert-and-induced-knowledge-modelado-de-sistemas-borrosos-interpretables-con-cooperacion-entre-conocimiento-experto-e-inducido\/","title":{"rendered":"Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge (modelado de sistemas borrosos interpretables con cooperaci\u00f3n entre conocimiento experto e inducido)"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Jos\u00e9 Mar\u00eda Alonso Moral <\/strong><\/h2>\n<p>This thesis describes a new methodology for making easier the design process of interpretable knowledge bases. It considers both expert knowledge and knowledge extracted from data. The combination of both kinds of knowledge is likely to yield robust compact systems with a good trade-off between accuracy and interpretability. Fuzzy logic offers an integration framework where both types of knowledge are represented using the same formalism. However, as two knowledge bases may convey contradictions and\/or redundancies, the integration process must be made carefully. Results obtained, in several well-known benchmark classification problems, show that our methodology leads to highly interpretable knowledge bases with a good accuracy, comparable to that achieved by other methods. Moreover, the new methodology proposed was applied to some real-world applications. all results presented in this work were reached using a free software tool (distributed under the terms of the gpl license) for generating and refining fuzzy knowledge bases. It was designed and developed as an important part of the thesis. It has been used as a test bed in order to check all theoretical aspects of the thesis.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge (modelado de sistemas borrosos interpretables con cooperaci\u00f3n entre conocimiento experto e inducido)<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge (modelado de sistemas borrosos interpretables con cooperaci\u00f3n entre conocimiento experto e inducido) <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Jos\u00e9 Mar\u00eda Alonso Moral <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 05\/10\/2007<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Luis Magdalena Layos<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Gregorio Fern\u00e1ndez Fern\u00e1ndez <\/li>\n<li>Oscar Cord\u00f3n Garc\u00eda (vocal)<\/li>\n<li>Serge Guillaume (vocal)<\/li>\n<li> Bugar\u00edn Diz Alberto Jos\u00e9 (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Jos\u00e9 Mar\u00eda Alonso Moral This thesis describes a new methodology for making easier the design process of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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