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標(biāo)題: Titlebook: Bounding Uncertainty in Civil Engineering; Theoretical Backgrou Alberto Bernardini,Fulvio Tonon Book 2010 Springer-Verlag Berlin Heidelberg [打印本頁(yè)]

作者: enamel    時(shí)間: 2025-3-21 19:06
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作者: 削減    時(shí)間: 2025-3-21 23:56
Book 2010r a self-contained selection of the topics and a more unified presentation of thetheoretical 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 ap
作者: 孤獨(dú)無(wú)助    時(shí)間: 2025-3-22 03:43
Book 2010tical 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 r
作者: 評(píng)論者    時(shí)間: 2025-3-22 06:18

作者: 有幫助    時(shí)間: 2025-3-22 12:36
Approximate Reasoning,ed with both probabilistic procedures and fuzzy set operations..Finally it will be shown in Section 6.5 that fuzzy logic gives powerful, simple and robust procedures in the field of pattern recognition, clustering and optimal choices in decision making.
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作者: defile    時(shí)間: 2025-3-23 10:50
William N. Rom,Kam-Meng Tchou-Wongthe book. Particular attention is given to continuous and discrete random variables and to the concept of expectation of a random variable, defined through both Lebesque and Stieltjes integrals. The theory is extended to joint probability spaces and random vectors.
作者: TIGER    時(shí)間: 2025-3-23 16:07
https://doi.org/10.1007/978-3-642-82234-6constructed by including given random sets or relations into random sets and relations that are easier to deal with from a computational viewpoint: these approximations yield validated outer bounds on the probability of events. Finally, mappings of random sets are investigated along with the monotonicity of inclusions.
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作者: BUCK    時(shí)間: 2025-3-23 23:04
Motivation,Before embarking on studying the following chapters, motivations are provided as to why random sets are useful to formalize uncertainty in civil engineering. Pros and cons in using the theory of random sets are contrasted to more familiar theories such as, for example, the theory of random variables.
作者: geometrician    時(shí)間: 2025-3-24 04:43
https://doi.org/10.1007/978-3-642-11190-7Fuzzy Sets; Imprecise Probabilities; Random Sets; Risk; civil engineering; uncertainty
作者: 木訥    時(shí)間: 2025-3-24 09:00

作者: 壟斷    時(shí)間: 2025-3-24 12:09
William N. Rom,Kam-Meng Tchou-Wongthe book. Particular attention is given to continuous and discrete random variables and to the concept of expectation of a random variable, defined through both Lebesque and Stieltjes integrals. The theory is extended to joint probability spaces and random vectors.
作者: ASTER    時(shí)間: 2025-3-24 18:22
Johan Staaf,Mats J?nsson,Anna F. Karlssonematical structure. A formal definition is then given, followed by different ways to describe the same information..A random set gives upper and lower bounds on the probability of subsets in a space of events. These non-additive and monotone (with respect to inclusion) set functions can be described
作者: 消滅    時(shí)間: 2025-3-24 20:06

作者: Iniquitous    時(shí)間: 2025-3-25 01:23
https://doi.org/10.1007/978-3-642-82234-6constructed by including given random sets or relations into random sets and relations that are easier to deal with from a computational viewpoint: these approximations yield validated outer bounds on the probability of events. Finally, mappings of random sets are investigated along with the monoton
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作者: nocturnal    時(shí)間: 2025-3-25 19:06
Review of Theory of Probability and Notation,the book. Particular attention is given to continuous and discrete random variables and to the concept of expectation of a random variable, defined through both Lebesque and Stieltjes integrals. The theory is extended to joint probability spaces and random vectors.
作者: Subdue    時(shí)間: 2025-3-25 23:44
Inclusion and Mapping of Random Sets/Relations,constructed by including given random sets or relations into random sets and relations that are easier to deal with from a computational viewpoint: these approximations yield validated outer bounds on the probability of events. Finally, mappings of random sets are investigated along with the monotonicity of inclusions.
作者: ticlopidine    時(shí)間: 2025-3-26 04:09
Review of Theory of Probability and Notation,the book. Particular attention is given to continuous and discrete random variables and to the concept of expectation of a random variable, defined through both Lebesque and Stieltjes integrals. The theory is extended to joint probability spaces and random vectors.
作者: Commemorate    時(shí)間: 2025-3-26 06:31
Random Sets and Imprecise Probabilities,ematical structure. A formal definition is then given, followed by different ways to describe the same information..A random set gives upper and lower bounds on the probability of subsets in a space of events. These non-additive and monotone (with respect to inclusion) set functions can be described
作者: Wordlist    時(shí)間: 2025-3-26 09:45
Random Relations,om sets on several different spaces, Si, or by means of a random relation on the Cartesian product .?=?×.. The multifold concept of independence is firstly introduced within the general framework of imprecise probabilities, and then specialized to random relations. A definition for correlation betwe
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作者: 膽小懦夫    時(shí)間: 2025-3-26 19:32
Approximate Reasoning, a problem of mathematics, but of judgment. As a consequence, random set theory too does not provide any prescriptive method for combining two random sets. In Section 6.1, some possible ways of combining or updating information on the same space are reviewed, distinguishing between models that stres
作者: 虛弱的神經(jīng)    時(shí)間: 2025-3-26 23:29
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