| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6901591 | Procedia Computer Science | 2017 | 8 Pages |
Abstract
In this paper we apply the fuzzy set theory to knowledge mining from big data on material characteristics. We propose fuzzy clustering-generated If-Then rules as a basis for computer synthesis of new materials. Validity of the proposed approach is verified on an example of prediction properties of Ti-Ni alloy.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
M.B. Babanli,