
FUZZY KNOWLEDGEBASE DESIGN FOR INTELLECTUAL SYSTEMS
Author(s) -
Larysa Globa,
Maksym Ternovoy,
Olena S. Shtogryna
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.7.1.491
Subject(s) - computer science , fuzzy logic , function (biology) , data mining , artificial intelligence , biology , evolutionary biology
The approach to fuzzy knowledgebase designing for complex administrative intellectual systems is proposed in the paper. It consists of two phases: structure construction and membership function parameters adjustment. This approach allows accelerate the intellectual systems fuzzy knowledgebase construction.