
Application of the fuzzy logic theory in the problem prediction values of the technical coefficient
Author(s) -
E. A. Korobkin,
E. Yu Kurklinskaya,
Irina Astachova,
A. I. Shashkin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1202/1/012010
Subject(s) - fuzzy logic , defuzzification , stability (learning theory) , computer science , operator (biology) , fuzzy set , state (computer science) , function (biology) , sequence (biology) , instability , work (physics) , mathematics , artificial intelligence , fuzzy number , algorithm , machine learning , engineering , repressor , chemistry , mechanics , genetics , biology , biochemistry , evolutionary biology , transcription factor , mechanical engineering , physics , gene