Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Introduction: special issue on ‘uncertainty in geographic information systems’
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Sorites paradox and vague geographies
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Fuzzy objects for geographical information systems
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Fuzzy and Neural Approaches in Engineering
Fuzzy and Neural Approaches in Engineering
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Characterization of marine sediments in areas heavily impacted by human activities is a good example for situations where high complexity of physical and chemical processes can lead to an incomplete understanding of the configuration and distribution of pollutants material. These processes are often very complex for a direct prediction from a mathematical theory, making necessary that the process of identifying areas of contaminated sediment is mainly based on defined empirical models of concentrations distribution. In this paper an ontological fuzzy approach in GIS serves as a framework to define a specific scenario grounded on the abilities from an existing dataset. The final model is based on a large number of known concentrations (samples for characterization), which are considered sufficiently similar in terms of features. Therefore the model is working as guides (description of the model) for the identification of areas of same type.