is.ulstu.ru/fuzzy-rules-generator
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Remove unused code

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This commit is contained in:
Aleksey Filippov 2025-02-26 14:12:07 +04:00
parent 602d36681d
commit 5198e126d0
1 changed files with 0 additions and 24 deletions
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src/rules.py
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@ -319,30 +319,6 @@ def _get_fuzzy_rule_atom(
return (fuzzy_variable[best_value[0]], best_value[1]) return (fuzzy_variable[best_value[0]], best_value[1])
def simplify_rules_fuzz(
X: pd.DataFrame,
rules: List[Rule],
fuzzy_variables: Dict[str, FuzzyVariable],
) -> List[Rule]:
minmax = _get_variables_minmax(X)
new_rules: List[Rule] = []
for rule in rules:
intervals = _get_varibles_interval(rule.get_antecedent())
new_atoms = []
for key, value in intervals.items():
val: float = 0
if value[0] is None and value[1] is not None:
val = minmax[key][0]
if value[1] is None and value[0] is not None:
val = minmax[key][1]
if value[0] is not None and value[1] is not None:
val = (value[0] + value[1]) / 2
new_atoms.append(RuleAtom(key, ComparisonType.EQUALS, val))
new_rules.append(Rule(new_atoms, rule.get_consequent()))
return new_rules
def _get_fuzzy_rules( def _get_fuzzy_rules(
rules: List[Rule], fuzzy_variables: Dict[str, FuzzyVariable] rules: List[Rule], fuzzy_variables: Dict[str, FuzzyVariable]
) -> List[Tuple[List[RuleAtom], Term, float]]: ) -> List[Tuple[List[RuleAtom], Term, float]]: