A New Fuzzy Modelling Approach For Predicting The Maximum Daily Temperature From A Time Series

Hasan TATLI; Zekai ŞEN

Makale detayları

A New Fuzzy Modelling Approach For Predicting The Maximum Daily Temperature From A Time Series

Yazarlar:

Hasan TATLI | Zekai ŞEN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Engineering and Environmental Sciences 1999 Vol.23 Issue 3, pp.173-180

Belge Tipi:

Makale

Yayın Tarihi:

2/1999

Belge Dili:

Türkçe

Document ID (Org No.):

2000745345

Sıklık:

Üç Yıllık

eISSN:

1303-6157

pISSN:

1300-0160

Özet:

 

Classical time series analysis requires many assumptions  such as the normality of data, linearity in the autocorelation  coefficient and statistical parameter estimations.  It is almost  impossible to find all these assumptions applicable in stochastic time  series generation or simulation.  This paper provides a simple  fuzzy-probabilistic method for the time series analysis.  The basis of  the methodology is to construct the fuzzy base rule domain from the  available daily maximum temperature records at Kandilli observatory in  Istanbul.  The new concepts of transition and cumulative probability  procedures are employed for taking decision among the alternative  consequent fuzzy sets prior to the defuzzification.

 

Classical time series analysis requires many assumptions  such as the normality of data, linearity in the autocorelation  coefficient and statistical parameter estimations.  It is almost  impossible to find all these assumptions applicable in stochastic time  series generation or simulation.  This paper provides a simple  fuzzy-probabilistic method for the time series analysis.  The basis of  the methodology is to construct the fuzzy base rule domain from the  available daily maximum temperature records at Kandilli observatory in  Istanbul.  The new concepts of transition and cumulative probability  procedures are employed for taking decision among the alternative  consequent fuzzy sets prior to the defuzzification.

Makale detayları

A New Fuzzy Modelling Approach For Predicting The Maximum Daily Temperature From A Time Series

Yazarlar: Hasan TATLI | Zekai ŞEN

Yayıncı: TUBITAK

Dergi: Turkish Journal of Engineering and Environmental Sciences 1999 Vol.23 Issue 3, pp.173-180

Belge Tipi: Makale

Yayın Tarihi: 2/1999

Belge Dili: Türkçe

Document ID (Org No.): 2000745345

Sıklık: Üç Yıllık

eISSN: 1303-6157

pISSN: 1300-0160

Sayı

Yazarlar:

Hasan TATLI | Zekai ŞEN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Engineering and Environmental Sciences 1999 Vol.23 Issue 3, pp.173-180

Belge Tipi:

Makale

Yayın Tarihi:

2/1999

Belge Dili:

Türkçe

Document ID (Org No.):

2000745345

Sıklık:

Üç Yıllık

eISSN:

1303-6157

pISSN:

1300-0160