Guo_Tanaka_2001: Data: Guo and Tanaka (2001).

Guo_Tanaka_2001R Documentation

Data: Guo and Tanaka (2001).

Description

Data of 5 DMUs with two symmetric triangular fuzzy inputs, Xj = (xj, alphaj), and two symmetric triangular fuzzy outputs, Yj = (yj, betaj).

Usage

data("Guo_Tanaka_2001")

Format

Data frame with 5 rows and 9 columns. Definition of fuzzy inputs (X) and fuzzy outputs (Y):

x1

Input 1

x2

Input 2

alpha1

spread vector Input 1

alpha2

spread vector Input 2

y1

Output 1

y2

Output 2

beta1

spread vector Output 1

beta2

spread vector Output 2

Author(s)

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)

Source

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")}

See Also

make_deadata_fuzzy, modelfuzzy_guotanaka, cross_efficiency_fuzzy

Examples

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)


deaR documentation built on May 2, 2023, 5:13 p.m.

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