DEA

class pystoned.DEA.DDF(y, x, b=None, gy=[1], gx=[1], gb=None, rts='vrs', yref=None, xref=None, bref=None)

__init__(y, x, b=None, gy=[1], gx=[1], gb=None, rts='vrs', yref=None, xref=None, bref=None)

DEA: Directional distance function

Parameters:

• y (float) – output variable.

• x (float) – input variables.

• b (float), optional) – undesirable output variables. Defaults to None.

• gy (list, optional) – output directional vector. Defaults to [1].

• gx (list, optional) – input directional vector. Defaults to [1].

• gb (list, optional) – undesirable output directional vector. Defaults to None.

• rts (String) – RTS_VRS (variable returns to scale) or RTS_CRS (constant returns to scale)

• yref (String, optional) – reference output. Defaults to None.

• xref (String, optional) – reference inputs. Defaults to None.

• bref (String, optional) – reference undesirable output. Defaults to None.

class pystoned.DEA.DEA(y, x, orient, rts, yref=None, xref=None)

Data Envelopment Analysis (DEA)

__init__(y, x, orient, rts, yref=None, xref=None)

DEA: Envelopment problem

Parameters:

• y (float) – output variable.

• x (float) – input variables.

• orient (String) – ORIENT_IO (input orientation) or ORIENT_OO (output orientation)

• rts (String) – RTS_VRS (variable returns to scale) or RTS_CRS (constant returns to scale)

• yref (String, optional) – reference output. Defaults to None.

• xref (String, optional) – reference inputs. Defaults to None.

display_lamda()

Display lamda value

display_status()

Display the status of problem

display_theta()

Display theta value

get_lamda()

Return lamda value by array

get_status()

Return status

get_theta()

Return theta value by array

optimize(email='local', solver=None)

Optimize the function by requested method

Parameters:

• email (string) – The email address for remote optimization. It will optimize locally if OPT_LOCAL is given.

• solver (string) – The solver chosen for optimization. It will optimize with default solver if OPT_DEFAULT is given.

class pystoned.DEA.DUAL(y, x, orient, rts, yref=None, xref=None)

__init__(y, x, orient, rts, yref=None, xref=None)

DEA: Multiplier problem

Parameters:

• y (float) – output variable.

• x (float) – input variables.

• orient (String) – ORIENT_IO (input orientation) or ORIENT_OO (output orientation)

• rts (String) – RTS_VRS (variable returns to scale) or RTS_CRS (constant returns to scale)

• yref (String, optional) – reference output. Defaults to None.

• xref (String, optional) – reference inputs. Defaults to None.

display_mu()

Display mu value

display_nu()

Display nu value

display_omega()

Display omega value

get_efficiency()

Return efficiency value by array

get_mu()

Return mu value by array

get_nu()

Return nu value by array

get_omega()

Return omega value by array