Patrick Doherty,
Witold Lukaszewicz,
Andrzej Szalas
Springer Berlin Heidelberg
0e druk, 2010
9783642070129
Knowledge Representation Techniques
A Rough Set Approach
Specificaties
Paperback, 334 blz.
|
Engels
Springer Berlin Heidelberg |
0e druk, 2010
ISBN13: 9783642070129
Rubricering
Onderdeel van serie
Studies in Fuzziness and Soft Computing
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This book contains a cohesive, self-contained collection of theoretical and applied research results that have been achieved in this project which pertain to nonmonotonic and approximate easoning systems developed for an experimental unmanned aerial vehicle system used in the project. This book should be of interest to the theoretician and applied researcher alike and to autonomous system developers and software agent and intelligent system developers.
Specificaties
ISBN13:9783642070129
Taal:Engels
Bindwijze:paperback
Aantal pagina's:334
Uitgever:Springer Berlin Heidelberg
Druk:0
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
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.