Abstract
Tourist beaches on the southern coast of Turkey are surveyed in order to facilitate a standardised fuzzy approach to be used in litter prediction and to assess the aesthetic state of the coastal environment for monitoring programs. During these surveys the number of litter items on beaches were counted and recorded in different categories. The main source of litter on beaches was determined as “beach users”. A fuzzy system was developed to predict the classification of the beaches, since uncertainty was generally inherent in beach work due to the high variability of beach characteristics and the sources of litter categories. This resulted in effective utilization of “the judgment and knowledge of beach users” in the evaluation of beach gradings.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Balas, C.E., Williams, A.T., Simmons, S.L., Ergin, A.: A Statistical Riverine Litter Propagation Model. Marine Pollution Bulletin 42(11), 1169–1176 (2001)
EA/NALG, Assessment of Aesthetic Quality of Coastal and Bathing Beaches, Monitoring Protocol and Classification Scheme, Environmental Agency, Bristol, UK (2000)
Zadeh, L.A.: Fuzzy Logic and the Calculi of Fuzzy Rules, Fuzzy Graphs, and Fuzzy Probabilities. Computer and Mathematics with Applications 37, 35 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Balas, C.E. (2005). Fuzzy System Analysis of Beach Litter Components. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2005. ICCS 2005. Lecture Notes in Computer Science, vol 3516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428862_184
Download citation
DOI: https://doi.org/10.1007/11428862_184
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26044-8
Online ISBN: 978-3-540-32118-7
eBook Packages: Computer ScienceComputer Science (R0)