Comparison Between The Effects Of Different Types Of Membership Functions On Fuzzy Logic For Hydroxy Dry Cell Performance
Özet
In this study, hydroxy (HHO) dry cell performances in terms of voltage,
current and temperature were modeled with Rule-Based Mamdani-Type Fuzzy
(RBMTF) modeling technique. Input parameters plate combination and time,
output parameters voltage, current, temperature were described by RBMTF
if-the rules. Current, voltage and temperature were measured for the
different membership functions. Numerical parameters of input and output
variables were fuzzificated as linguistic variables: very very low
(L-1), very low (L-2), low (L-3), negative medium (L-4), medium (L-5),
positive medium (L-6), high (L-7), very high (L-8) and very very high
(L-9) linguistic classes. With the linguistic variables used, rules were
obtained for this system. Membership functions (MFs) are the building
blocks of fuzzy set theory, i.e., fuzziness in a fuzzy set is determined
by its MF. Accordingly, the shapes of MFs are important for a particular
problem since they effect on a fuzzy inference system. They may have
different shapes like triangular, trapezoidal, Gaussian, etc. The only
condition a MF must really satisfy is that it must vary between 0 and 1.
This paper presents the performance comparison of fuzzy logic with three
different types of membership function.
Koleksiyonlar
DSpace@Karatay by Karatay University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..