Fuzzy Linear Regression Based on Least Absolutes Deviations

@inproceedings{Taheri2012FuzzyLR,
  title={Fuzzy Linear Regression Based on Least Absolutes Deviations},
  author={S. Mahmoud Taheri},
  year={2012}
}
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 three goodness of fit criteria. Three well-known data sets including two small data sets as well as a… CONTINUE READING

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