Inference Method

class fuzzy_expert.inference.DecompositionalInference(and_operator, or_operator, implication_operator, composition_operator, production_link, defuzzification_operator)

Bases: object

Decompositional inference method.

Parameters

• and_operator –

  AND operator method for combining the compositions of propositions in a fuzzy rule premise, specified as one of the following:

  • ”min”.

  • ”prod”.

  • ”bunded_prod”.

  • ”drastic_prod”.

• or_operator –

  OR operator method for combining the compositions of propositions in a fuzzy rule premise, specified as one of the following:

  • ”max”.

  • ”prob_or”.

  • ”bounded_sum”.

  • ”drastic_sum”.

• implication_operator –

  method for computing the compositions of propositions in a fuzzy rule premise, specified as one of the following:

  • ”Ra”.

  • ”Rm”.

  • ”Rc”.

  • ”Rb”.

  • ”Rs”.

  • ”Rg”.

  • ”Rsg”.

  • ”Rgs”.

  • ”Rgg”.

  • ”Rss”.

• production_link –

  method for aggregating the consequences of the fuzzy rules, specified as one of the following:

  • ”min”.

  • ”prod”.

  • ”bunded_prod”.

  • ”drastic_prod”.

  • ”max”.

  • ”prob_or”.

  • ”bounded_sum”.

  • ”drastic_sum”.

• defuzzification_operator –

  Method for defuzzificate the resulting membership function, specified as one of the following:

  • ”cog”: Center of gravity.

  • ”boa”: Bisector of area.

  • ”mom”: Mean of the values for which the membership function is maximum.

  • ”lom”: Largest value for which the membership function is maximum.

  • ”som”: Smallest value for which the membership function is minimum.

plot(variables, rules, **facts)