Modeling decisions for artificial intelligence [electronic resource] : 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings / Vicenç Torra, Yasuo Narukawa, Yasunori Endo (eds.).
MDAI (Conference) (11th : 2014 : Tokyo, Japan); Torra, Vicenç, editor.; Narukawa, Yasuo, editor.; Endo, Yasunori, editor.
2014
Q334
Available Online

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Title Modeling decisions for artificial intelligence [electronic resource] : 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings / Vicenç Torra, Yasuo Narukawa, Yasunori Endo (eds.).
Meeting Name MDAI (Conference) (11th : 2014 : Tokyo, Japan)
ISBN 9783319120546 electronic book
3319120549 electronic book
9783319120539
DOI https://doi.org/10.1007/978-3-319-12054-6
Published Cham : Springer, 2014.
Language English
Description 1 online resource (xviii, 241 pages) : illustrations.
Item Number 10.1007/978-3-319-12054-6 doi
Call Number Q334
Dewey Decimal Classification 006.3
Summary This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy.
Note International conference proceedings.
Incldues author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 12, 2014).
Added Author Torra, Vicenç, editor.
Narukawa, Yasuo, editor.
Endo, Yasunori, editor.
Series Lecture notes in computer science. Lecture notes in artificial intelligence ; 8825.
LNCS sublibrary. SL 7, Artificial intelligence.
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Aggregation Operators and Decision Making
Inference Systems Optimization
Clustering and Similarity
Data Mining and Data Privacy.

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