Synthesis of new materials by using fuzzy and big data concepts

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.