Comparison Between The Effects Of Different Types Of Membership Functions On Fuzzy Logic For Hydroxy Dry Cell Performance

  • Yazar/lar IŞIKTAŞ, Abdullah
    DİNÇER, Kevser
    ATA, Sadık
  • Yayın Türü Konferans Bildirisi
  • Yayın Tarihi 2016
  • Yayıncı STEF92 TECHNOLOGY LTD
  • Tek Biçim Adres http://hdl.handle.net/20.500.12498/4719

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.

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Eser Adı
(dc.title)
Comparison Between The Effects Of Different Types Of Membership Functions On Fuzzy Logic For Hydroxy Dry Cell Performance
Yayın Türü
(dc.type)
Konferans Bildirisi
Yazar/lar
(dc.contributor.author)
IŞIKTAŞ, Abdullah
Yazar/lar
(dc.contributor.author)
DİNÇER, Kevser
Yazar/lar
(dc.contributor.author)
ATA, Sadık
Atıf Dizini
(dc.source.database)
Wos
Yayıncı
(dc.publisher)
STEF92 TECHNOLOGY LTD
Yayın Tarihi
(dc.date.issued)
2016
Kayıt Giriş Tarihi
(dc.date.accessioned)
2020-08-07T14:18:49Z
Açık Erişim tarihi
(dc.date.available)
2020-08-07T14:18:49Z
ISSN
(dc.identifier.issn)
1314-2704
Özet
(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.
Yayın Dili
(dc.language.iso)
en
Tek Biçim Adres
(dc.identifier.uri)
http://hdl.handle.net/20.500.12498/4719
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