Bounding Uncertainty in Civil Engineering: Theoretical Background - Softcover

Bernardini, Alberto; Tonon, Fulvio

 
9783642425424: Bounding Uncertainty in Civil Engineering: Theoretical Background
Softcover
ISBN 10: 3642425429 ISBN 13: 9783642425424
Verlag: Springer, 2014

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
3642425429
ISBN 13 
9783642425424
Einband
Taschenbuch
Anzahl der Seiten
336
Kontakt zum Hersteller
Dt. Universitätsverlag
buchhandel-buch@springer.com

Abraham-Lincoln-Str. 46
Wiesbaden
65198
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783642111891: Bounding Uncertainty in Civil Engineering: Theoretical Background

Vorgestellte Ausgabe

ISBN 10:  3642111890 ISBN 13:  9783642111891
Verlag: Springer, 2010
Hardcover