This paper presents an innovative fuzzy regression approach for the assessment of the potential vulnerability of bridge … structural models and ambient vibration data preprocessed by wavelet filtering, the fuzzy regression approach is adopted to … resulting fuzzy regression models along the longitudinal and transverse directions of the bridge reflects on the high R …

framework is based on fuzzy regression, conventional regression and design of experiment (DOE). The hybrid framework uses … assume that fuzzy regression provides better solutions and estimation. Third, it is ideal candidate for short data sets. To …, Pakistan and Iran from 1995 to 2005 are considered and tested. This is the first study which introduces a hybrid fuzzy …

-based volatility forecasts, through the use of fuzzy regression methods. The latter methods offer a suitable tool to handle both …, measurement errors in both realised volatility and volatility forecasts may affect the regression results. Fuzzy regression …

This study presents an integrated fuzzy regression and time series framework to estimate and predict electricity demand … fuzzy regression (FR) or time series and the integrated algorithm could be an ideal substitute for such cases. At First … from fuzzy regression and time series model is selected by the Granger-Newbold. Also, the impact of data preprocessing on …

investors to make decisions. Since business cycle is fuzzy in nature, this study uses the fuzzy regression analysis method to …