Knowledge representation techniques : a rough set approach

The basis for the material in this book centers around a long term research project with autonomous unmanned aerial vehicle systems. One of the main research topics in the project is knowledge representation and reasoning. The focus of the research has been on the development of tractable combinatio...

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Autors principals: Doherty, Patrick, Lukaszewicz, Witold (Autor), Skowron, Andrzej, 1943- (Autor), Szałas, Andrzej, 1958- (Autor)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Col·lecció:Studies in Fuzziness and Soft Computing 202
Accés en línia:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Knowledge Representation Techniques, Texte imprimé, 9783540335184
Taula de continguts:
  • and Preliminaries Basic Notions Rough Sets Relational and Deductive Databases Non-Monotonic Reasoning From Relations to Knowledge Representation Rough Knowledge Databases Combining Rough and Crisp Knowledge Weakest Sufficient and Strongest Necessary Conditions CAKE: Computer Aided Knowledge Engineering Formalization of Default Logic Using CAKE A UAV Scenario: A Case Study From Sensors to Relations Information Granules Tolerance Spaces A Rough Set Approach to Machine Learning UAV Learning Process: A Case Study