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Nearest neighbor (NN) techniques are commonly used in remote sensing, pattern recognition and statistics to classify objects into a predefined number of categories based on a given set of predictors. These techniques are especially useful in those cases exhibiting highly nonlinear relationship between variables. In most studies the distance measure is(More)
In many practical classification problems the severeness of misclassifications depends on the semantics of true and predicted class in the underlying domain. We present such a problem from machine vision, where additionally the class probabilities are extremely unbalanced. Due to their in-terpretability neuro-fuzzy classifiers axe a popular way to extract(More)
In this paper, we present a top down approach for integrated process modelling and distributed process execution. The integrated process model can be utilized for global monitoring and visualization and distributed process models for local execution. Our main focus in this paper is the presentation of the approach to support automatic generation and linking(More)
A new class of problems has been identified for workflow management wherein this technology imposes an additional overhead on users which is not adequately compensated by the benefits gained. Multiple observations from real cases identify a contradiction between the preferred work practice and some fundamental principles behind workflow systems. The focus(More)
In a world of electronic interconnectivity, the concepts for process automation within a single organisation need to be extended to support cooperation with customers and partners across organisational boundaries. Current workflow standards bodies provide limited support to enable this interconnectivity. They provide interfaces and data structures for(More)
A methodology based on fuzzy set theory is presented to express imprecision of input data in a non-probabilitic sense. Imprecision may originate from indirect measurements, estimation routines, subjective interpretation, and expert judgement of available information. A numerical finite difference solution scheme was chosen to solve one-dimensional(More)