"universe", seq( from = 0, to = 5, by = 0.1 ))
>> test2 = fuzzy_variable( b = fuzzy_trapezoid( corners = c( 4, 5, 6, 7 )))
>>
>
> On Tue, Aug 2, 2016 at 11:14 AM, Arthur Stilben
> wrote:
>> I already made this question, but I was not subscribed and not
&g
I already made this question, but I was not subscribed and not
received any reply. I tried this:
> install.packages("sets")
...
> library(sets)
> teste = fuzzy_partition(varnames = c('a', 'b'), FUN = fuzzy_trapezoid,
> corners = c(1,2,3,4), height = c(1,1), corners = c(5,6,7,8), height = c(1,1) )
Thanks, Sarah, for the reply. It really works.
2016-07-28 15:50 GMT-03:00 Sarah Goslee :
> On Thu, Jul 28, 2016 at 2:46 PM, Arthur Rodrigues Stilben
> wrote:
>>
>>
>> Em 28-07-2016 15:45, Arthur Rodrigues Stilben escreveu:
>>>
>>> Sarah,
>>>
>>> First of all, thanks for reply.
>>>
>>> Second, It
Hello, everyone!
Is there a way to set universe group for each fuzzy_variable? I try to do this:
> teste = fuzzy_variable( a = fuzzy_trapezoid( corners = c( 0, 1, 2, 3 ) ),
> universe = seq( from = 0, to= 10, by = 0.1 ) )
But when I print teste:
> teste
A fuzzy variable with values: a, univer
Hello, guys!
I tried to do that:
> teste = fuzzy_partition( varnames = c( "a", "b" ), FUN = fuzzy_trapezoid,
> corners = c( 0, 1, 2, 3), corners = c(4, 5, 6, 7))
Error in FUN(i, ...) :
argumento formal "corners" corresponde a mĂșltiplos argumentos especificados
So, how can I use fuzzy_partiti
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