M. Kelkinnama
Department of Mathematical Sciences, Isfahan University of Technology, Isfahan 84156-83111, Iran
[ 1 ] - FUZZY LINEAR REGRESSION BASED ON LEAST ABSOLUTES DEVIATIONS
This study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. A least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. The proposed approach, which can deal with both symmetric and non-symmetric fuzzy observations, is compared with several existing models by...
نویسندگان همکار