The proceedings contain 24 papers. The topics discussed include: what can fuzzy cluster analysis contribute to clustering of high-dimensional data?; feature selection based on fuzzy mutual information; learning membership functions for fuzzy sets through modified support vector clustering; using fuzzy multilayer perceptrons for the classification of time series; imputation of possibilistic data for structural learning of directed acyclic graphs; adding real coefficients to Lukasiewicz logic: an application to neural networks; possibilistic graphical models: from reasoning to decision making; ranking triangular fuzzy numbers using fuzzy set inclusion index; probability- possibility transformation: application to Bayesian and possibilistic networks; evaluation and ranking of intuitionistic fuzzy quantities; approximation of fuzzy measures using second order measures: estimation of andness bounds; and model-based image interpretation under uncertainty and fuzziness.
Masulli, F., Pasi, G., Yager, R. (a cura di). (2013). Fuzzy Logic and Applications - 10th International Workshop, WILF 2013, Proceedings. Springer.
Fuzzy Logic and Applications - 10th International Workshop, WILF 2013, Proceedings
PASI, GABRIELLA;
2013
Abstract
The proceedings contain 24 papers. The topics discussed include: what can fuzzy cluster analysis contribute to clustering of high-dimensional data?; feature selection based on fuzzy mutual information; learning membership functions for fuzzy sets through modified support vector clustering; using fuzzy multilayer perceptrons for the classification of time series; imputation of possibilistic data for structural learning of directed acyclic graphs; adding real coefficients to Lukasiewicz logic: an application to neural networks; possibilistic graphical models: from reasoning to decision making; ranking triangular fuzzy numbers using fuzzy set inclusion index; probability- possibility transformation: application to Bayesian and possibilistic networks; evaluation and ranking of intuitionistic fuzzy quantities; approximation of fuzzy measures using second order measures: estimation of andness bounds; and model-based image interpretation under uncertainty and fuzziness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.