Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 18th International C Marie-Jeanne Lesot,Susana Vieira,Rona

能够支付

Vinícius Wasques,Beatriz Laiate,Francielle Santo Pedro,Estevão Esmi,Laécio Carvalho de Barrosf Central Asia.A ‘must-read‘ for all those interested in CenThis book summarizes a long-term research project addressing land and water use in the irrigated areas of the Aral Sea basin. In an interdisciplinary approach, natural and human sciences are combined to elucidate the challenges of economic

让步

STING

Random Steinhaus Distances for Robust Syntax-Based Classification of Partially Inconsistent Linguisthool: languages are represented through yes-no strings of length 53, each string position corresponding to a syntactic feature which can be present or absent. However, due to a complex network of logical implications which constrain features, some positions might be undefined (logically inconsistent

Infelicity

Possibilistic Bounds for Granular Counting be used as an appropriate model for processing such data. In particular, granular counting is a way to count data in presence of uncertainty represented by possibility distributions. Two algorithms were proposed in literature to compute granular counting: exact granular counting, with quadratic tim