Modeling decisions for artificial intelligence : 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings /

Modeling decisions for artificial intelligence : 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings / MDAI 2014 Vicenç Torra, Yasuo Narukawa, Yasunori Endo (eds.). - 1 online resource (xviii, 241 pages) : illustrations - Lecture notes in artificial intelligence, 8825 0302-9743 ; LNCS sublibrary. SL 7, Artificial intelligence . - Lecture notes in computer science. Lecture notes in artificial intelligence ; 8825. LNCS sublibrary. SL 7, Artificial intelligence. .

International conference proceedings. Includes author index.

Aggregation Operators and Decision Making -- Inference Systems Optimization -- Clustering and Similarity -- Data Mining and Data Privacy.

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.


English.

9783319120546 3319120549

10.1007/978-3-319-12054-6 doi

Springer


Artificial intelligence--Mathematical models--Congresses.
Decision making--Mathematical models--Congresses.
Computer simulation--Congresses.
Intelligence artificielle--Modèles mathématiques--Congrès.
Prise de décision--Modèles mathématiques--Congrès.
Simulation par ordinateur--Congrès.
Artificial intelligence--Mathematical models
Computer simulation
Decision making--Mathematical models


Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.

Q334

006.3

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