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.).
2014
Q334
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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
3319120549 electronic book
9783319120539
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.
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).
Series
Lecture notes in computer science. Lecture notes in artificial intelligence ; 8825.
LNCS sublibrary. SL 7, Artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
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Table of Contents
Aggregation Operators and Decision Making
Inference Systems Optimization
Clustering and Similarity
Data Mining and Data Privacy.
Inference Systems Optimization
Clustering and Similarity
Data Mining and Data Privacy.