The Linguistic Concept’s Reduction Methods under Symmetric Linguistic-Evaluation Information

Knowledge reduction is a crucial topic in formal concept analysis. There always exists uncertain, symmetric linguistic-evaluation information social life, which leads to high complexity the process of knowledge representation. In order overcome this problem, we are focused on studying linguistic-concept-reduction methods an uncertain environment with fuzzy linguistic information. Based three-way decisions and attribute-oriented lattice, construct fuzzy-object-induced (FOEAL) provides complementary conceptual structures lattice Through granular FOEAL present corresponding consistent set reduction. Then, further employ discernibility matrix function calculate set. A similar issue entropy investigated introduce method for relation between discussed. The efficiency proposed depicted by some examples comparative