Granular Computing in Decision Approximation An Application of Rough Mereology /

• Κύριοι συγγραφείς: Polkowski, Lech (Συγγραφέας), Artiemjew, Piotr (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Intelligent Systems Reference Library, 77
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inclusion...

Πίνακας περιεχομένων:

• Similarity and Granulation
• Mereology and Rough Mereology. Rough Mereological Granulation
• Learning data Classification. Classifiers in General and in Decision Systems
• Methodologies for Granular Reflections
• Covering Strategies
• Layered Granulation
• Naive Bayes Classifier on Granular Reflections
• The Case of Concept-Dependent Granulation
• Granular Computing in the Problem of Missing Values
• Granular Classifiers Based on Weak Rough Inclusions
• Effects of Granulation on Entropy and Noise in Data. - Conclusions
• Appendix. Data Characteristics Bearing on Classification.