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- fuzzy.defuzzify.Base.Base(__builtin__.object)
-
- Dict
class Dict(fuzzy.defuzzify.Base.Base) |
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Not a real defuzzification.
Just stores the adjective memberships
in a dictionary for output.
You should use in the adjectives instances of Set itself.
What can be done with this?
For example:
You want help with buying a car.
Input are your preferences::
speed, payload (1-10), ...
(map to "very important, important, doesn't matter, not wanted, never" ;-)
Output are choices:
cars with adjectives: ferrari, truck, ...
rules are as follows::
if speed->very_important && payload->never then car->ferrari
if payload->very_important then car->truck
... and so on
Then you use this as follows::
input variables
{ speed:3, payload:1, ...}
==>
output_variables
{ car: {
ferrari:0.1,
truck: 1.0,
...
}
}
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- Method resolution order:
- Dict
- fuzzy.defuzzify.Base.Base
- __builtin__.object
Methods defined here:
- __init__(self, *args, **keywords)
- getValue(self, variable)
- no defuzzification just return membership values
Methods inherited from fuzzy.defuzzify.Base.Base:
- __repr__(self)
- Return representation of instance.
@return: representation of instance
@rtype: string
- accumulate(self, variable, segment_size=None)
- combining adjective values into one set
- value_table(self, set)
- get a value table of the polygon representation
Data descriptors inherited from fuzzy.defuzzify.Base.Base:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
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