SawLocalDatasourceImpl class

Implementation of SawLocalDatasource that handles SAW algorithm operations.

This implementation supports:

  • Automatic weight normalization
  • Isolate-based processing for large datasets
  • Performance profiling
  • Comprehensive input validation

Example usage:

final datasource = SawLocalDatasourceImpl();

// Generate matrix
final matrix = await datasource.generateSawMatrix(
  listAlternative: alternatives,
  listCriteria: criteria,
);

// Calculate results
final results = await datasource.calculateSawResult(matrix: matrix);
Implemented types
Mixed-in types

Constructors

SawLocalDatasourceImpl({DecisionMakingHelper? helper, Stopwatch? stopwatch, DecisionIsolateMain? isolate})
Creates an instance of SawLocalDatasourceImpl.

Properties

hashCode → int
The hash code for this object.
no setterinherited
helper → DecisionMakingHelper
no setteroverride
isolate → DecisionIsolateMain
no setteroverride
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited

Methods

calculateResultWithExistingMatrix({required List<WeightedDecisionMatrix> matrix}) → Future<List<WeightedDecisionResult>>
========================================================================== RESULT WITH CRITERIA
override
calculateSawResult({required List<WeightedDecisionMatrix> matrix}) → Future<List<WeightedDecisionResult>>
Calculates the final SAW results from a decision matrix.
override
ensureIdsForAlternatives(List<WeightedDecisionAlternative> alternatives) → List<WeightedDecisionAlternative>
Ensures all alternatives have unique IDs.
inherited
ensureIdsForCriteria(List<WeightedDecisionCriteria> criteria) → List<WeightedDecisionCriteria>
Ensures all criteria have unique IDs.
inherited
generateMatrixDirectly(List<WeightedDecisionAlternative> alternatives, List<WeightedDecisionCriteria> criteria) → List<WeightedDecisionMatrix>
Generates matrix directly without using isolate.
inherited
generateMatrixWithIsolate(DecisionAlgorithm algorithm, DecisionProcessingIsolateCommand command, List<WeightedDecisionAlternative> alternatives, List<WeightedDecisionCriteria> criteria) → Future<List<WeightedDecisionMatrix>>
Generates matrix using isolate for large datasets.
inherited
generateSawMatrix({required List<WeightedDecisionAlternative> listAlternative, required List<WeightedDecisionCriteria> listCriteria}) → Future<List<WeightedDecisionMatrix>>
MATRIX GENERATE SAW MATRIX
override
normalizeCriteriaWeights(List<WeightedDecisionCriteria> criteria) → List<WeightedDecisionCriteria>
Normalizes criteria weights to sum to exactly 100%.
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toString() → String
A string representation of this object.
inherited
validateAndFixMatrix(List<WeightedDecisionMatrix> matrix) → List<WeightedDecisionMatrix>
Validates and repairs matrix data structure.
inherited
validateInputs(List<WeightedDecisionAlternative> alternatives, List<WeightedDecisionCriteria> criteria) → void
Validates input data for matrix generation.
inherited
validateMaxInputValue(List<WeightedDecisionMatrix> matrix) → Future<void>
Validates that all rating values do not exceed their criteria's maximum value.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited