شماره ركورد كنفرانس :
4418
عنوان مقاله :
Regression model with fuzzy outliers
پديدآورندگان :
Choi Seunghoe School of Liberal Arts and Sciences, Korea Aerospace University, Koyang 412-791, Korea , Yoon Jinhee Department of Economics, Yonsei University, Seoul, 120-749, Korea
كليدواژه :
Fuzzy Regression model , Fuzzy outlier , Rank transform method
عنوان كنفرانس :
يازدهمين كنفرانس سراسري سيستم هاي هوشمند
چكيده فارسي :
The rank transformation method is a simple procedure where the data are merely replaced with their corresponding ranks and is known to be a method that does not depend on the error distribution. We deal with the rank transformation method based on an alpha-level set of a fuzzy number to construct a fuzzy regression model. We also consider numerical examples to discuss effectiveness of the fuzzy regression model using the proposed method
