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Bounding Uncertainty in Civil Engineering

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andongnimelo 发表于 2012-3-5 14:26:36 | 显示全部楼层 |阅读模式
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br /> QQ截图20120305142457.png

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Bounding Uncertainty in Civil Engineering.pdf

3.97 MB, 下载次数: 70, 下载积分: 金币 -2 金币

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n900 发表于 2012-3-5 14:46:53 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />Thanks!

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fulinsg 发表于 2012-3-5 14:47:22 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />This work is subject to copyright. All rights are reserved, whether the whole or part of the mate-
rial is concerned, speci?cally the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on micro?lm or in any other way, and storage in data banks. Dupli-
cation of this publication or parts thereof is permitted only under the provisions of the German
Copyright Law of September 9, 1965, in its current version, and permission for use must always
be obtained from Springer. Violations are liable to prosecution under the German Copyright Law.
The use of general descriptive names, registered names, trademarks, etc. in this publication does
not imply, even in the absence of a speci?c statement, that such names are exempt from the relevant
protective laws and regulations and therefore free for general use.

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fulinsg 发表于 2012-3-5 14:48:00 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />Preface  
The theories described in the first part of this book summarize the research
work that in past 30-40 years, from different roots and with different aims,
has tried to overcome the boundaries of the classical theory of probability,
both  in  its  objectivist  interpretation  (relative  frequencies  of  expected
events) and in its subjective, Bayesian or behavioral view. Many compel-
ling and competitive mathematical objects have been proposed in different
areas (robust statistical methods, mathematical logic, artificial intelligence,
generalized  information  theory).  For  example,  fuzzy  sets,  bodies  of  evi-
dence,  Choquet  capacities,  imprecise  previsions,  possibility  distributions,
and sets of desirable gambles.  
Many of these new ideas have been tentatively applied in different dis-
ciplines to model the inherent uncertainty in predicting a system’s behavior
or in back analyzing or identifying a system’s behavior in order to obtain
parameters  of  interest  (econometric  measures,  medical  diagnosis,  …).  In
the early to mid-1990s, the authors turned to random sets as a way to for-
malize uncertainty in civil engineering.
It is far from the intended mission of this book to be an all comprehen-
sive presentation of the subject. For an updated and clear synthesis, the in-
terested reader could for example refer to (Klir 2005). The particular point
of view of the authors is centered on the applications to civil engineering
problems and essentially on the mathematical theories that can be referred
to the general idea of a convex set of probability distributions describing
the input data and/or the final response of systems. In this respect, the the-
ory of random sets has been adopted as the most appropriate and relatively
simple model in many typical problems. However, the authors have tried
to elucidate its connections to the more general theory of imprecise prob-
abilities. If choosing the theory of random sets may lead to some loss of
generality, it will, on the other hand, allow for a self-contained selection of
the arguments and a more unified presentation of the theoretical contents
and algorithms.
Finally, it will be shown that in some (or all) cases the final engineering
decisions should be guided by some subjective judgment in order to obtain
a reasonable compromise between different contrasting objectives (for ex-
ample  safety  and  economy)  or  to  take  into  account  qualitative  factors.
Therefore,  some  formal  rules  of  approximate  reasoning  or  multi-valued
logic  will  be  described  and  implemented  in  the  applications. These  rules
cannot be confined within the boundaries of a probabilistic theory, albeit
extended as indicated above.  
Subjects Covered: Within the context of civil engineering, the first chap-
ter provides motivation for the introduction of more general theories of un-
certainty  than  the  classical  theory  of  probability,  whose  basic  definitions
and concepts (à la Kolmogorov) are recalled in the second chapter that also
establishes  the  nomenclature  and  notation for  the  remainder  of  the  book.
Chapter  3  is  the  main  point  of  departure  for  this  book,  and  presents  the
theory of random sets for one uncertain variable together with its links to
the theory of fuzzy sets, evidence theory, theory of capacities, and impre-
cise  probabilities.  Chapter  4  expands  the  treatment  to  two  or  more  vari-
ables  (random  relations),  whereas  the  inclusion  between  random  sets  (or
relations) is covered in Chapter 5 together with mappings of random sets
and monotonicity of operations on random sets. The book concludes with
Chapter 6, which deals with approximate reasoning techniques. Chapters 3
through 5 should be read sequentially. Chapter 6 may be read after reading
Chapter 3.  
Level  and  Background:  The  book  is  written  at  the  beginning  graduate
level  with  the  engineering  student  and  practitioner  in  mind.  As  a  conse-
quence,  each  definition,  concept  or  algorithm  is  followed  by  examples
solved in detail, and cross-references have been introduced to link different
sections  of  the  book.  Mathematicians  will  find  excellent  presentations  in
the books by Molchanov (2005), and Nguyen (2006) where links to the ini-
tial stochastic geometry pathway of Matheron (1975) is recalled and ran-
dom sets are studied as stochastic models.  
The authors have equally contributed to the book.

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zong2006 发表于 2012-3-5 14:58:17 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />good thanks

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streetdog 发表于 2012-3-5 15:54:11 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />Thank you for sharing.

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sjzdh01 发表于 2012-3-5 16:41:28 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />下载看看了

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xmgao9996 发表于 2012-3-5 22:59:57 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />谢谢

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pangpangone 发表于 2012-3-5 23:31:53 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />又是本好東西!!

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wxysaeed 发表于 2012-3-6 00:05:18 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />谢谢楼主

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xuridongsheng 发表于 2012-3-6 11:40:23 | 显示全部楼层
本帖最后由 三T上人 于 2016-7-22 17:23 编辑 <br /><br />MARK

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TheOne64 发表于 2012-3-6 13:28:51 | 显示全部楼层
thank you !!

please don't cite the copyright paragraph...
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kengawk 发表于 2012-3-6 15:26:05 | 显示全部楼层
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hll2118 发表于 2012-3-8 00:27:49 | 显示全部楼层
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chapman79 发表于 2012-3-8 13:16:14 | 显示全部楼层
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gaoke.cug 发表于 2012-3-9 21:10:36 | 显示全部楼层
顶顶顶顶顶顶顶顶
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gaoke.cug 发表于 2012-3-9 21:10:45 | 显示全部楼层
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gaoke.cug 发表于 2012-3-9 21:10:52 | 显示全部楼层
顶顶顶顶顶顶顶
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读心 发表于 2012-3-16 10:36:31 | 显示全部楼层
好资料,共分享
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kevinlau1976 发表于 2012-8-6 23:37:06 | 显示全部楼层
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denhere 发表于 2013-6-24 23:09:58 | 显示全部楼层
好书一本,但是可靠度方面的书都比较难啊
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fox3021 发表于 2015-8-9 08:28:10 | 显示全部楼层
不错!  
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风之子 发表于 5 天前 | 显示全部楼层
回个帖子支持一下!支持东南西北人
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gghh8488 发表于 4 天前 | 显示全部楼层
收藏起来!谢谢楼主分享
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