چکیده مقاله
In regression models normally, both of data and parameters are considered as crisp But, in some cases, there is obscurity in the model parameter or observations In these cases fuzzy regression can be fair alternative model In this research we applied the mentioned models to forecasting Temperature response variable of Saghez areas To do this we consider the Wet Temperature WT , Relative Humidity RH and Cloud Angle CA as descriptive variables Finally the estimated models and the parameters show the high determination coefficient and significance values to forecast the temperature apply these approaches to geography data WT, RH, WS, CA with symmetric triangular fuzzy response observations
کلیدواژهها
نویسندگان
Mohammad Hossein Dehghan
Academic member, Statistics Department, University of Sistan and Baluchestan, Zahedan/Iran
Hojatollah Daneshmand
Academic member, physics Department, University of Sistan and Baluchestan, Zahedan/Iran, daneshmand
Narges Khoshnazar
MSc, Statistics Department, University of Sistan and Baluchestan, Zahedan/Iran,
شیوه ارجاع
Dehghan, Mohammad Hossein and Daneshmand, Hojatollah and Khoshnazar, Narges,1394,Application of Linear Fuzzy and Ordinary Linear Regression on the Geographical data with Outlier Observation Case Study: Saghez Station,1st National Conference on Soft Computing,Rasht
ارائهشده در
مجموعه مقالات نخستین کنفرانس ملی محاسبات نرم27 آبان 1394 · رشت