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| Package svs_simulation :: Package ai_lib :: Module fuzzy :: Class FuzzyVariable |
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| Method Summary | |
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__init__(self,
name,
minValue,
maxValue,
unit)
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Returns subset with name matching item. | |
Adds new subset. | |
Returns infered result of fuzzy evaluation. | |
Returns the Seguno constant for a specific set. | |
Sets set memenrs DOM to 0.0. | |
Returns result of valueIs operation as the Seguno value. | |
Sets new input value for variable, and sets all member sets DOM to 0.0. | |
Returns the membership value in a specific set. | |
Returns list of sets in which the tested value has a member value greater then the threshold. | |
Returns list of membership values for each of the subsets within this set. | |
| Method Details |
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__getitem__(self,
item)
Returns subset with name matching item.
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addSubSet(self, setName, fitVector)Adds new subset.
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defuzzify(self)Returns infered result of fuzzy evaluation. |
getSegunoConstantForSubSet(self, setName)Returns the Seguno constant for a specific set.
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reset(self)Sets set memenrs DOM to 0.0. |
segunoValueIs(self, index, threshold=0.0)Returns result ofvalueIs operation as the Seguno
value.
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setInputValue(self, inputValue)Sets new input value for variable, and sets all member sets DOM to 0.0. |
valueInSet(self, index, setName)Returns the membership value in a specific set.
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valueIs(self, index, threshold=0.0)Returns list of sets in which the tested value has a member value greater then the threshold.
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valuesFor(self, index)Returns list of membership values for each of the subsets within this set.
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