Title :
Application of experimental design with fuzzy input information
Author :
Manusov, V.S. ; Mogilenko, A.V.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
Abstract :
Fuzzy regression equations can be obtained on the basis of experimental design methods, whose basic purpose is the evaluation of mathematical models of research object parameters. It is supposed that the type of a mathematical model is set. If the number of tests exceeds the number of evaluated regression coefficients, even at rather small amount of the factors, it is possible to make both full factorial design and fractional factorial design
Keywords :
design of experiments; fuzzy logic; statistical analysis; experimental design application; fractional factorial design; full factorial design; fuzzy input information; fuzzy regression equations; mathematical models; regression coefficients; research object parameters; tests; Design for experiments; Electronic mail; Equations; Fuzzy sets; Information analysis; Mathematical model; Power system analysis computing; Power system modeling; Regression analysis; Testing;
Conference_Titel :
Science and Technology, 2000. KORUS 2000. Proceedings. The 4th Korea-Russia International Symposium on
Conference_Location :
Ulsan
Print_ISBN :
0-7803-6486-4
DOI :
10.1109/KORUS.2000.866037
