Abstract
This book has been concerned with a wide class of uncertain systems described by traditional mathematical models and by relational knowledge representations. For the systems with different formal models of uncertainty, a uniform description of analysis and decision making problems has been presented and discussed. A special emphasis has been put on new approaches:
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Uncertain variables and their applications.
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Learning concepts consisting in step by step knowledge validation and updating.
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Soft variables as a tool for unification and generalization of non-parametric problems.
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© 2004 Springer-Verlag London
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Bubnicki, Z. (2004). Conclusions. In: Analysis and Decision Making in Uncertain Systems. Communications and Control Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-3760-3_15
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DOI: https://doi.org/10.1007/978-1-4471-3760-3_15
Publisher Name: Springer, London
Print ISBN: 978-1-84996-909-3
Online ISBN: 978-1-4471-3760-3
eBook Packages: Springer Book Archive