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100326s2010 gw | s |||| 0|eng d |
| 020 |
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|a 9783642119606
|9 978-3-642-11960-6
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|a 10.1007/978-3-642-11960-6
|2 doi
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|a Q342
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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| 100 |
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|a Huynh, Van-Nam.
|e editor.
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| 245 |
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|a Integrated Uncertainty Management and Applications
|c edited by Van-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry, Masahiro Inuiguchi.
|h [electronic resource] /
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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| 300 |
# |
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|a 560p. 74 illus.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Advances in Intelligent and Soft Computing,
|v 68
|x 1867-5662 ;
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| 505 |
0 |
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|a Part I Keynote and Invited Talks -- Part II Fuzzy Measures and Integrals -- Part III Integrated Uncertainty and Operations Research Symmetries: A General Approach to Integrated Uncertainty Management -- Part IV Aggregation Operators and Decision Making -- Part V Logical Approaches to Uncertainty -- Part VI Reasoning with Uncertainty Reasoning with Uncertainty in Continuous Domains -- Part VII DataMining -- Part VIII Applications.
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| 520 |
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|a Solving practical problems often requires the integration of information and knowledge from many different sources, taking into account uncertainty and impreciseness. Typical situations are, for instance, when we need to simultaneously process both measurement data and expert knowledge, where the former may be uncertain and inaccurate due to randomness or error in measurements whilst the latter are often vague and imprecise due to a lack of information or human s subjective judgements. This gives rise to the demand for methods and techniques of managing and integrating various types of uncertainty within a coherent framework, so as to ultimately improve the solution to any such complex problem in practice. The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM 2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th 11thApril, is therefore conceived as a forum for the discussion and exchange of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
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| 650 |
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|a Engineering.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Computational Intelligence.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 700 |
1 |
# |
|a Nakamori, Yoshiteru.
|e editor.
|
| 700 |
1 |
# |
|a Lawry, Jonathan.
|e editor.
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| 700 |
1 |
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|a Inuiguchi, Masahiro.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642119590
|
| 830 |
# |
0 |
|a Advances in Intelligent and Soft Computing,
|v 68
|x 1867-5662 ;
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-11960-6
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
|