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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Bernardini, Alberto, Tonon, Fulvio (लेखक)
स्वरूप: Livre numérique
भाषा:Anglais
प्रकाशित: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
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ऑनलाइन पहुंच:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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टिप्पणी: L'impression du document génère 327 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Bounding Uncertainty in Civil Engineering, Texte imprimé, 9783642111891
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505 1 |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 
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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 
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