Guo_Tanaka_2001 | R Documentation |
Data of 5 DMUs with two symmetric triangular fuzzy inputs, Xj = (xj, alphaj), and two symmetric triangular fuzzy outputs, Yj = (yj, betaj).
data("Guo_Tanaka_2001")
Data frame with 5 rows and 9 columns. Definition of fuzzy inputs (X) and fuzzy outputs (Y):
Input 1
Input 2
spread vector Input 1
spread vector Input 2
Output 1
Output 2
spread vector Output 1
spread vector Output 2
Vicente Coll-Serrano (vicente.coll@uv.es). Quantitative Methods for Measuring Culture (MC2). Applied Economics.
Vicente Bolos (vicente.bolos@uv.es). Department of Business Mathematics
Rafael Benitez (rafael.suarez@uv.es). Department of Business Mathematics
University of Valencia (Spain)
Guo, P.; Tanaka, H. (2001). "Fuzzy DEA: A Perceptual Evaluation Method", Fuzzy Sets and Systems, 119, 149–160. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/S0165-0114(99)00106-2")}
make_deadata_fuzzy
, modelfuzzy_guotanaka
,
cross_efficiency_fuzzy
data("Guo_Tanaka_2001")
data_example <- make_deadata_fuzzy(Guo_Tanaka_2001,
dmus = 1,
inputs.mL = 2:3,
inputs.dL = 4:5,
outputs.mL = 6:7,
outputs.dL = 8:9)
result <- modelfuzzy_guotanaka(data_example,
h = seq(0, 1, by = 0.1),
orientation = "io")
efficiencies(result)
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