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.
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.
Modeling Decisions for Artificial Intelligence: 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings
Modeling Decisions for Artificial Intelligence: 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings
eBook (1st ed. 2017)
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Product Details
| ISBN-13: | 9783319674223 |
|---|---|
| Publisher: | Springer-Verlag New York, LLC |
| Publication date: | 09/12/2017 |
| Series: | Lecture Notes in Computer Science , #10571 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 5 MB |