COMPARISON BETWEEN THE EFFECTS OF DIFFERENT TYPES OF MEMBERSHIP FUNCTIONS ON FUZZY LOGIC FOR HYDROXY DRY CELL PERFORMANCE

Küçük Resim Yok

Tarih

2016

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Yayıncı

STEF92 TECHNOLOGY LTD

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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.

Açıklama

16th International Multidisciplinary Scientific Geoconference (SGEM 2016) -- JUN 30-JUL 06, 2016 -- Albena, BULGARIA

Anahtar Kelimeler

HHO Dry Cell, membership functions, rule-based Mamdani-type fuzzy modelling

Kaynak

ENERGY AND CLEAN TECHNOLOGIES CONFERENCE PROCEEDINGS, SGEM 2016, VOL I

WoS Q Değeri

N/A

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