thrfunctions: Types of Threshold Function
In GICUNED/GridFCM: Fuzzy Cognitive Maps (FCM) for RepGrids and ImpGrids
thrfunctions R Documentation
Types of Threshold Function
Description
The GridFCM package allows for four threshold functions, two of which are
discrete and the other two are continuous:
Discrete Functions
Bivalent function: The bivalent function returns a value of 1
to the vertex when the incoming activation is greater than 0, and returns 0
when the incoming activation is less than or equal to 0. This leads to the
vertices taking discrete and dichotomous values (True or false). To use this
function we must write as parameter 'thr = "b"' in the function
codelinkfcminfer.
Trivalent function: The trivalent function returns a value of
1 to the vertex when the incoming activation is greater than 0, returns 0
when that activation is equal to 0, and returns -1 if that activation is
less than 0. This leads to the vertices to take discrete values, and unlike
bivalent, returns three different possible values; useful for discrete
bipolar dimensions.To use this function, we must write 'thr = "tri"' as a
parameter to the function codelinkfcminfer.
Continuous Functions
Sigmoidal Function: The sigmoidal function is the continuous
version of the bivalent function. Forces the vertex to be set to an
activation range between 0 and 1. If we use this function we must specify an
associated lambda which defines the discriminating power of the function;
high values of lambda bring the sigmoidal function closer to a bivalent
function, low values bring it closer to a linear function. To use this
function we must write as parameter 'thr = "s"' in the function
link{fcminfer}.
Hyperbolic Tangent Function: The hyperbolic tangent function
is the continuos version of the trivalent function. Forces the vertez to be
set to an activation range between -1 and +1. If we use this function
we must specify an associated lambda which defines the discriminating power
of the function; high values of lambda bring the Hyperbolic Tangent Function
closer to a trivalent function, low values bring it closer to a linear
function. To use this function we must write as parameter 'thr = "t"' in the
function link{fcminfer}.
GICUNED/GridFCM documentation built on Feb. 23, 2023, 9:03 a.m.
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| thrfunctions | R Documentation |
Types of Threshold Function
Description
The GridFCM package allows for four threshold functions, two of which are discrete and the other two are continuous:
Discrete Functions
Bivalent function: The bivalent function returns a value of 1 to the vertex when the incoming activation is greater than 0, and returns 0 when the incoming activation is less than or equal to 0. This leads to the vertices taking discrete and dichotomous values (True or false). To use this function we must write as parameter 'thr = "b"' in the function codelinkfcminfer.
Trivalent function: The trivalent function returns a value of 1 to the vertex when the incoming activation is greater than 0, returns 0 when that activation is equal to 0, and returns -1 if that activation is less than 0. This leads to the vertices to take discrete values, and unlike bivalent, returns three different possible values; useful for discrete bipolar dimensions.To use this function, we must write 'thr = "tri"' as a parameter to the function codelinkfcminfer.
Continuous Functions
Sigmoidal Function: The sigmoidal function is the continuous
version of the bivalent function. Forces the vertex to be set to an
activation range between 0 and 1. If we use this function we must specify an
associated lambda which defines the discriminating power of the function;
high values of lambda bring the sigmoidal function closer to a bivalent
function, low values bring it closer to a linear function. To use this
function we must write as parameter 'thr = "s"' in the function
link{fcminfer}.
Hyperbolic Tangent Function: The hyperbolic tangent function
is the continuos version of the trivalent function. Forces the vertez to be
set to an activation range between -1 and +1. If we use this function
we must specify an associated lambda which defines the discriminating power
of the function; high values of lambda bring the Hyperbolic Tangent Function
closer to a trivalent function, low values bring it closer to a linear
function. To use this function we must write as parameter 'thr = "t"' in the
function link{fcminfer}.
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