deaR (version 1.4.1)

efficiencies.dea_fuzzy: Efficiencies

Description

Extract the scores (optimal objective values) of the evaluated DMUs from a fuzzy DEA solution. Note that these scores may not always be interpreted as efficiencies.

Usage

# S3 method for dea_fuzzy
efficiencies(x, ...)

Arguments

x

Object of class dea_fuzzy obtained with some of the fuzzy DEA modelfuzzy_* functions.

...

Other options (for compatibility).

Author

Vicente Coll-Serrano (). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolós (). Department of Business Mathematics

Rafael Benítez (). Department of Business Mathematics

University of Valencia (Spain)

References

Boscá, J.E.; Liern, V.; Sala, R.; Martínez, A. (2011). "Ranking Decision Making Units by Means of Soft Computing DEA Models". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 19(1), p.115-134.

Examples

# Replication of results in Boscá, Liern, Sala and Martínez (2011, p.125)
data("Leon2003")
data_example <- make_deadata_fuzzy(datadea = Leon2003,
                                   inputs.mL = 2, 
                                   inputs.dL = 3, 
                                   outputs.mL = 4, 
                                   outputs.dL = 5)
result <- modelfuzzy_kaoliu(data_example,
                            kaoliu_modelname = "basic", 
                            alpha = seq(0, 1, by = 0.1), 
                            orientation = "io", 
                            rts = "vrs")
efficiencies(result)