dc.description.abstract | 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. | |