Titlebook: Advanced Dynamic Modeling of Economic and Social Systems; Araceli N. Proto,Massimo Squillante,Janusz Kacprzy Book 2013 Springer-Verlag Ber

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https://doi.org/10.1007/978-94-015-3220-4tational technique that enables computers to solve problems without being explicitly programmed. This paper proposes a genetic programming approach for risk assessment. In particular, the study is set in order to predict, on a collection of real loan data, whether a credit request has to be approved

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,Neues Reich und Sa?tische Zeit,degree of truth) for a human consistent verbalization of data analysis and data mining results in the context of the assessment and evaluation of innovativeness of companies. We present the linguistic summaries in the perspective of Zadeh’s protoforms (prototypical forms), and their derivation as an

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https://doi.org/10.1007/978-94-015-3223-5tering properties of a node, indicating the node robustness against external perturbation. It has been considered in many different disciplines such as computer science, macroeconomics, nonlinear dynamics and opinion formation. The AOI values reflect the networks topology, in the way that according

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https://doi.org/10.1007/978-94-015-3234-1ulation study is proposed for comparing the performances of the two best-known methods for modelling higher-order constructs, namely the . and the . approaches. The simulation results, far from covering all the potential uses of the two approaches, could provide some useful suggestions to those rese