TY  - BOOK
AU  - Torra,Vicenç
AU  - Narukawa,Yasuo
AU  - Honda,Aoi
AU  - Inoue,Sōzō
ED  - MDAI (Conference)
TI  - Modeling decisions for artificial intelligence: 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783319674223
AV  - Q334 
U1  - 006.3 23
PY  - 2017///
CY  - Cham
PB  - Springer
KW  - Artificial intelligence
KW  - Mathematical models
KW  - Congresses
KW  - Decision making
KW  - Computer simulation
KW  - Intelligence artificielle
KW  - Modèles mathématiques
KW  - Congrès
KW  - Prise de décision
KW  - Simulation par ordinateur
KW  - Pattern recognition
KW  - bicssc
KW  - Data mining
KW  - Information retrieval
KW  - Mathematical theory of computation
KW  - Computers
KW  - Computer Vision & Pattern Recognition
KW  - bisacsh
KW  - Database Management
KW  - Data Mining
KW  - Information Technology
KW  - System Administration
KW  - Storage & Retrieval
KW  - Programming
KW  - Algorithms
KW  - Intelligence (AI) & Semantics
KW  - fast
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - Aggregation operators, fuzzy measures and integrals -- Clustering and classication -- Data privacy and security -- Data mining and applications
N2  - This book constitutes the proceedings of the 14th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2017, held in Kitakyushu, Japan, in October 2017. The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals; clustering and classication; data privacy and security; data mining and applications
UR  - https://link.springer.com/10.1007/978-3-319-67422-3
ER  -