Integriertes Verfahren zur flächenhaften Ermittlung des Gefährdungspotentials von Massenbewegungen mit Hilfe von Data Mining Tools

This dissertation is designed to present a new modular method of hazard assessment of landslides for big study areas using rule based systems and data mining tools like analytical hierarchy process AHP and Artificial Neural Networks ANN. To evaluate this method three regions were chosen in the Palatinate area in Germany. The knowledge and the available data are of different origin which means that the creation of an automatic system to solve the problem is not possible. Accordingly, the main idea of the method depends on the division of the whole assessment process into many small processes. Each of them will be called a module. Every division will form part of the whole process. The main advantage of this method is the high flexibility as regards analyzing so that one specific module depending on the problem is available. The modules are designed to be compatible with the type of available information and the data quality, reducing the time of the processing without affecting the quality of the results.

Grantor dc:publisher

Publikationsserver der RWTH Aachen University

Year dc:date

2009

Author dc:creator

• Kallash, Abdullah

Contributors dc:contributor

• Azzam, Rafig

• info:eu-repo/classification/ddc/550
• Massenbewegung <Geomorphologie>
• Analytic Hierarchy Process
• Neuronales Netz
• Suszeptibilität
• Geoinformationssystem
• Geowissenschaften
• ANN
• AHP
• Hazard maps
• landslides

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

ger

Identifier

https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113501%22

OAI record oai:identifier

https://publications.rwth-aachen.de/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Apublications.rwth-aachen.de%3A51189