大葉大學圖書館 |

Design decisions under uncertainty with limited information[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	620/.0042
タイトル / 著者:	Design decisions under uncertainty with limited information/ Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey.
著者:	Nikolaidis, Efstratios.
その他の著者:	Mourelatos, Zissimos P.
出版された:	Leiden, Netherlands : : CRC Press/Balkema,, c2011.
記述:	1 online resource : : ill.
主題:	Engineering design.
主題:	Decision making.
主題:	Reliability (Engineering) - Congresses.
国際標準図書番号 (ISBN) :	9780203834985 (electronic bk.)
国際標準図書番号 (ISBN) :	0203834984 (electronic bk.)
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000228] null:	1. Design decision under uncertainty -- 2. Overview of theories of uncertainty and tools for modeling uncertainty -- 3. Objective probability -- 4. Statistical inference : constructing probabilistic models from observations -- 5. Probabilistic analysis of dynamic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design.
[NT 15000229] null:	"Reliability methods are becoming increasingly popular in engineering design because they help build safer and more efficient products than traditional deterministic methods. A principal challenge in using these methods in practical design problems is to model uncertainty when little data is available and the underlying mechanism of uncertain events is unknown. There is a need for an integrated presentation of tools for modeling uncertainty and making design decisions under severe uncertainty, which bridges the gap between theory and practice for methods for design under uncertainty. This work presents and compare the most important theories for modeling uncertainty and explains what tools are most suitable for a given design problem. It illustrates how to solve practical design problems in the aerospace and automotive engineering industries with a balanced approach explaining both the theoretical foundations of methods and their application to engineering design. The numerous examples in each section will help to appreciate the importance of design under uncertainty and the theoretical developments of the methods. Readers will learn a structured, risk-based approach for design under uncertainty when limited information is available, which tools are available and which to select and apply given a design decision problem. They will further understand how to improve their overall performance using a structured, risk-based approach for design under uncertainty. Intended for mechanical and civil engineers working in aerospace, automotive, civil, shipbuilding and power engineering, and for graduate level courses and students in reliability analysis and design and decision-making under uncertainty"--
電子資源:	http://www.crcnetbase.com/isbn/978-0-415-49247-8

Design decisions under uncertainty with limited information[electronic resource] /
Nikolaidis, Efstratios.

Design decisions under uncertainty with limited information[electronic resource] /Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey. - Leiden, Netherlands :CRC Press/Balkema,c2011. - 1 online resource :ill. - Structures and infrastructures series,v. 71747-7735 ;. - Structures and infrastructures series ;v. 5..

Includes bibliographical references and index.

1. Design decision under uncertainty -- 2. Overview of theories of uncertainty and tools for modeling uncertainty -- 3. Objective probability -- 4. Statistical inference : constructing probabilistic models from observations -- 5. Probabilistic analysis of dynamic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design.

"Reliability methods are becoming increasingly popular in engineering design because they help build safer and more efficient products than traditional deterministic methods. A principal challenge in using these methods in practical design problems is to model uncertainty when little data is available and the underlying mechanism of uncertain events is unknown. There is a need for an integrated presentation of tools for modeling uncertainty and making design decisions under severe uncertainty, which bridges the gap between theory and practice for methods for design under uncertainty. This work presents and compare the most important theories for modeling uncertainty and explains what tools are most suitable for a given design problem. It illustrates how to solve practical design problems in the aerospace and automotive engineering industries with a balanced approach explaining both the theoretical foundations of methods and their application to engineering design. The numerous examples in each section will help to appreciate the importance of design under uncertainty and the theoretical developments of the methods. Readers will learn a structured, risk-based approach for design under uncertainty when limited information is available, which tools are available and which to select and apply given a design decision problem. They will further understand how to improve their overall performance using a structured, risk-based approach for design under uncertainty. Intended for mechanical and civil engineers working in aerospace, automotive, civil, shipbuilding and power engineering, and for graduate level courses and students in reliability analysis and design and decision-making under uncertainty"--Subjects--Topical Terms:

176300
Engineering design.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: TA174 / .N55 2011

Dewey Class. No.: 620/.0042

Design decisions under uncertainty with limited information[electronic resource] /
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008 140127s2011 ne ob 001 0 eng d
020 $z 9780415492478 (hbk.)
020 $z 0415492475 (hbk.)
020 $a 9780203834985 (electronic bk.)
020 $a 0203834984 (electronic bk.)
035 $a ocn725503905
040 $a WAU $c WAU $d WAU $d IL4J6 $d YDXCP $d OCLCQ $d OCLCF
050 1 4 $a TA174 $b .N55 2011
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100 1 $a Nikolaidis, Efstratios. $3 487797
245 1 0 $a Design decisions under uncertainty with limited information $h [electronic resource] / $c Efstratios Nikolaidis, Zissimos P. Mourelatos, and Vijitashwa Pandey.
260 $a Leiden, Netherlands : $b CRC Press/Balkema, $c c2011.
300 $a 1 online resource : $b ill.
490 1 $a Structures and infrastructures series, $x 1747-7735 ; $v v. 7
504 $a Includes bibliographical references and index.
505 0 $a 1. Design decision under uncertainty -- 2. Overview of theories of uncertainty and tools for modeling uncertainty -- 3. Objective probability -- 4. Statistical inference : constructing probabilistic models from observations -- 5. Probabilistic analysis of dynamic systems -- 6. Subjective (Bayesian) probability -- 7. Decision analysis -- 8. Multiattribute considerations in design.
520 $a "Reliability methods are becoming increasingly popular in engineering design because they help build safer and more efficient products than traditional deterministic methods. A principal challenge in using these methods in practical design problems is to model uncertainty when little data is available and the underlying mechanism of uncertain events is unknown. There is a need for an integrated presentation of tools for modeling uncertainty and making design decisions under severe uncertainty, which bridges the gap between theory and practice for methods for design under uncertainty. This work presents and compare the most important theories for modeling uncertainty and explains what tools are most suitable for a given design problem. It illustrates how to solve practical design problems in the aerospace and automotive engineering industries with a balanced approach explaining both the theoretical foundations of methods and their application to engineering design. The numerous examples in each section will help to appreciate the importance of design under uncertainty and the theoretical developments of the methods. Readers will learn a structured, risk-based approach for design under uncertainty when limited information is available, which tools are available and which to select and apply given a design decision problem. They will further understand how to improve their overall performance using a structured, risk-based approach for design under uncertainty. Intended for mechanical and civil engineers working in aerospace, automotive, civil, shipbuilding and power engineering, and for graduate level courses and students in reliability analysis and design and decision-making under uncertainty"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Engineering design. $3 176300
650 0 $a Decision making. $3 337308
650 0 $a Reliability (Engineering) $v Congresses. $3 341465
655 4 $a Electronic books. $2 local $3 336502
700 1 $a Mourelatos, Zissimos P. $3 559182
700 1 $a Pandey, Vijitashwa. $3 559183
830 0 $a Structures and infrastructures series ; $v v. 5. $3 490428
856 4 0 $u http://www.crcnetbase.com/isbn/978-0-415-49247-8