Struct FuzzyResultSet 

pub struct FuzzyResultSet {
    pub solutions: Vec<FuzzySolution>,
}

A bag of degree-annotated solutions.

Fields

solutions: Vec<FuzzySolution>

Implementations

impl FuzzyResultSet

pub fn new() -> Self

pub fn from_solutions(solutions: Vec<FuzzySolution>) -> Self

pub fn push(&mut self, sol: FuzzySolution)

pub fn len(&self) -> usize

pub fn is_empty(&self) -> bool

pub fn threshold(self, alpha: f64) -> Self

α-cut: keep only solutions with degree >= alpha.

pub fn order_by_degree_desc(self) -> Self

Sort by degree, highest confidence first (stable).

pub fn top_k(self, k: usize) -> Self

Keep the k highest-degree solutions.

pub fn negate(self, norm: DegreeNorm) -> Self

Fuzzy negation: replace each degree with its complement under norm. (Used for NOT/MINUS-style scoring of how un-matched a solution is.)

pub fn join(&self, other: &FuzzyResultSet, norm: DegreeNorm) -> FuzzyResultSet

Conjunctive join (basic graph pattern / AND): every compatible pair of solutions across the two sets yields a merged solution whose degree is the t-norm of the two input degrees.

pub fn union(&self, other: &FuzzyResultSet, norm: DegreeNorm) -> FuzzyResultSet

Union (UNION): solutions from both sets. Where the same row appears in both, its degrees combine via the t-conorm (the most confident wins under Gödel) rather than duplicating.

pub fn project(&self, vars: &[VariableId], norm: DegreeNorm) -> FuzzyResultSet

Projection onto vars (existential): drop all other variable bindings; rows that become identical are merged, keeping the maximum degree (∃ over the projected-away variables — the t-conorm under Gödel).

Trait Implementations

impl Clone for FuzzyResultSet

fn clone(&self) -> FuzzyResultSet

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FuzzyResultSet

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for FuzzyResultSet

fn default() -> FuzzyResultSet

Returns the “default value” for a type.

impl PartialEq for FuzzyResultSet

fn eq(&self, other: &FuzzyResultSet) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for FuzzyResultSet