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Bounding Uncertainty in Civil Engineering Theoretical Background /

Taking an engineering, rather than a mathematical, approach, Bounding uncertainty in Civil Engineering - Theoretical Background deals with the mathematical theories that use convex sets of probability distributions to describe the input data and/or the final response of systems. The particular point...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bernardini, Alberto (Autor), Tonon, Fulvio (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Bernardini, Alberto.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Bounding Uncertainty in Civil Engineering  |h [electronic resource] :  |b Theoretical Background /  |c by Alberto Bernardini, Fulvio Tonon. 
250 |a 1st ed. 2010. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2010. 
300 |a X, 322 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Motivation -- Review of Theory of Probability and Notation -- Random Sets and Imprecise Probabilities -- Random Relations -- Inclusion and Mapping of Random Sets/Relations -- Approximate Reasoning. 
520 |a Taking an engineering, rather than a mathematical, approach, Bounding uncertainty in Civil Engineering - Theoretical Background deals with the mathematical theories that use convex sets of probability distributions to describe the input data and/or the final response of systems. The particular point of view of the authors is centered on the applications to civil engineering problems, and the theory of random sets has been adopted as a basic and relatively simple model. However, the authors have tried to elucidate its connections to the more general theory of imprecise probabilities, Choquet capacities, fuzzy sets, p-boxes, convex sets of parametric probability distributions, and approximate reasoning both in one dimension and in several dimensions with associated joint spaces. If choosing the theory of random sets may lead to some loss of generality, it has, on the other hand, allowed for a self-contained selection of the topics and a more unified presentation of the theoretical contents and algorithms. With over 80 examples worked out step by step, the book should assist newcomers to the subject (who may otherwise find it difficult to navigate a vast and dispersed literature) in applying the techniques described to their own specific problems. 
650 0 |a Mechanics, Applied. 
650 0 |a Solids. 
650 0 |a Geotechnical engineering. 
650 0 |a Civil engineering. 
650 1 4 |a Solid Mechanics. 
650 2 4 |a Geotechnical Engineering and Applied Earth Sciences. 
650 2 4 |a Civil Engineering. 
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776 0 8 |i Printed edition:  |z 9783642112256 
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