Coastal scenic evaluation by application of fuzzy logic mathematics

Uçar, Barış
Coastal scenery evaluated by utilization of selected landscape components was subject to fuzzy logic system approach. Based on this methodology, coastal areas were grouped into five classes using the evaluation index D giving the overall result of scenic assessment over the attributes. Within the methodology, public perception surveys from Turkey, UK, Malta, and Croatia were used as a tool for environmental perception in the methodology. The results of the public perception surveys were utilized to obtain the weights of scenic parameters. Public surveys in Çirali were related to demographical information of respondents by factorial analysis. A coastal scenic classification curve was obtained for all 86 coastal sites around the world which enabled grouping of the sites in five different classes.


Coastal scenery: Appreciation and evaluation
Ergin, Ayşen; Micallef, A. (2006-07-01)
Twenty-six parameters have been selected that delineate coastal scenery. These were obtained via consultation between coastal users and experts in the field. The parameters were assessed as to their priorities and weightings given. Application of fuzzy logic techniques enabled a decision parameter (D) to be calculated for any coastal scene. Over 100 worldwide coastal sites were analysed via the technique and a five-class differentiation obtained from D values.
A new methodology for evaluating coastal scenery: fuzzy logic systems
Ergin, Ayşen; Micallef, A; Williams, AT (Wiley, 2004-12-01)
Coastal scenery evaluated by utilization of selected landscape components was subjected to a fuzzy logic systems approach. Twenty-six top-rated parameters were identified from a literature search/questionnaire surveys carried out in Malta, Turkey and the UK and coastal scenery investigated at 57 sites. A coastal scenic evaluation checklist system was finalized and consisted of assessment parameters based on a five-point scale ranging from low to high attribute values. Coastal user parameter preferences and ...
Simulation of water exchange in enclosed water bodies
Ozhan, E; Balas, L (2003-01-01)
A 0-D (box type) mathematical flushing model and a three-dimensional baroclinic numerical model have been presented that are used to simulate transport processes in coastal waters. The numerical model consists of hydrodynamic, transport and turbulence model components. In the hydrodynamic model component, the Navier-Stokes equations are solved with the Boussinesq approximation. The transport model component consists of the pollutant transport model and the water temperature and salinity transport models. In...
GPS/INS enhancement for land navigation using neural network
Kaygisiz, BH (Cambridge University Press (CUP), 2004-05-01)
We propose in this paper a method to enhance the performance of a coupled global positioning/inertial navigation system (GPS/INS) for land navigation applications during GPS signal loss. Our method is based on the use of an artificial neural network (ANN) to intelligently aid the GPS/INS Coupled navigation system in the absence of GPS signals. The proposed enhanced GPS/INS is tested in the dynamic environment of a land vehicle navigating around a closed path on the METU campus and we provide the results. Ou...
Atmospheric turbulent flowsolutions coupled with a mesoscale weather prediction model
Leblebici, Engin; Ahmet, Gökhan; Tuncer, İsmail Hakkı (2013-01-01)
Atmospheric turbulent flow solutions coupled with a mesoscale meteorological weather prediction software are obtained on terrain fitted high resolution computational grids using FLUENT as a CFD tool. The terrain topology of interest, which may be obtained in various resolution levels, is accurately modeled using unstructured grids. The widely used meteorological weather prediction software WRF is used to provide unsteady boundary conditions for the CFD solution domain. Due to difference of mesh structure an...
Citation Formats
B. Uçar, “Coastal scenic evaluation by application of fuzzy logic mathematics,” M.S. - Master of Science, Middle East Technical University, 2004.