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
235
Modeling Decisions for Artificial Intelligence: 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings
235Paperback(1st ed. 2017)
Product Details
| ISBN-13: | 9783319674216 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 10/18/2017 |
| Series: | Lecture Notes in Computer Science , #10571 |
| Edition description: | 1st ed. 2017 |
| Pages: | 235 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |