DBPapers
DOI: 10.5593/sgem2010.08.07.S2.023

PERFORMANCE OF FUZZY LOGIC IN DETERMINATION OF UNSTABLE POINTS IN LEVELING NETWORKS

AUTHOR/S: C. T. CELIK
Sunday 1 August 2010 by Libadmin2010

10th International Multidisciplinary Scientific GeoConference - SGEM2010, www.sgem.org, SGEM2010 Conference Proceedings/ ISBN 10: 954-91818-1-2, June 20-26, 2010, Vol. 1, 917-926 pp

ABSTRACT

A man-made structure or natural phenomena like crustal movement, vertical land
movements, subsidence determination, etc. is subject to deformations due to forces on
them. Deformations of a structure require rigorous analysis to reflect significant
movements. In general, deformation analysis relies on the reference network that is set
outside the deforming area so that a comparison could be possible. However, a geodetic
reference network is itself subject to movement. Therefore, the stability of the reference
network needs to be conformed by some suitable methods. There exist a number of
methods for performing the determination of stable and unstable points in the reference
network.

In this study, based on the fuzzy logic algorithm, a new method of detecting stable and
unstable points in a reference network designed for detection of vertical movements is
recommended. To test the proposed method a simulation was carried out and the results
were presented.

Keywords: Deformations, Congruency Test, Fuzzy Logic, reference network, Leveling Network