fuzzyr.accuracy: Fuzzy Accuracy
In FuzzyR: Fuzzy Logic Toolkit for R

Description Usage Arguments Value Author(s) References Examples

This function is to provide performance indicators by using eight different accuracy measures including a new measure UMBRAE.

1	fuzzyr.accuracy(f, y, f.ref = 0, scale.mase = NULL)

`f`	A vector of forecasting values produced by a model to be evaluated.
`y`	A vector of observed values.
`f.ref`	A vector of forecasting values produced by a benchmark method to be compared.
`scale.mase`	A single value which is the scaling factor of the measure MASE.

A vector of results by each measure.

Chao Chen

[1] C. Chen, J. Twycross, and J. M. Garibaldi, “A new accuracy measure based on bounded relative error for time series forecasting,” PLOS ONE, vol. 12, no. 3, pp. 1–23, 2017.
doi: 10.1371/journal.pone.0174202

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f <- rnorm(10)
y <- rnorm(10)
fuzzyr.accuracy(f, y)

       MAE       RMSE       MASE       MRAE      GMRAE       MAPE      sMAPE 
  1.347990   1.684060         NA   2.134427   1.486648 213.442676 151.191619 
    uMbRAE 
  1.384971