TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-319-12054-6
DO  - doi
AB  - 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.
T1  - Modeling decisions for artificial intelligence11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings /
AU  - Torra, Vicenç,
AU  - Narukawa, Yasuo,
AU  - Endo, Yasunori,
VL  - 8825
CN  - SpringerLink
CN  - Q334
N1  - International conference proceedings.
N1  - Incldues author index.
ID  - 712053
KW  - Artificial intelligence
KW  - Decision making
KW  - Computer simulation
SN  - 9783319120546
SN  - 3319120549
TI  - Modeling decisions for artificial intelligence11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-12054-6
UR  - https://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-12054-6
ER  -