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 ...
Numerical modeling of wave diffraction in one-dimensional shoreline change model
Baykal, Cüneyt; Ergin, Ayşen; Department of Civil Engineering (2006)
In this study, available coastal models are briefly discussed and under wind waves and a numerical shoreline change model for longshore sediment transport based on “one-line” theory is developed. In numerical model, wave diffraction phenomenon in one-dimensional modeling is extensively discussed and to represent the irregular wave diffraction in the sheltered zones of coastal structures a simpler approach based on the methodology introduced by Kamphuis (2000) is proposed. Furthermore, the numerical model re...
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...
Intuitionistic, 2-way adaptive fuzzy control
Gurkan, E; Erkmen, Aydan Müşerref; Erkmen, İsmet (1999-05-15)
Our objective in this paper is to develop a 2-way adaptive fuzzy control system that makes use of the intuitionistic fuzzy sets for modeling expert knowledge bearing uncertainty. Adaptive fuzzy control systems are fuzzy logic systems whose rule parameters are automatically adjusted through training. The training of such system was applied until now, to supports of rule propositions with single distribution such that they can be termed 1-way adaptive. In our system, all supports to propositions have interval...
Citation Formats
B. Uçar, “Coastal scenic evaluation by application of fuzzy logic mathematics,” M.S. - Master of Science, Middle East Technical University, 2004.