aspect_elimination

Documentation

Index

• type AspectEliminationBiasListener
  • func NewAspectEliminationBiasListener(...) *AspectEliminationBiasListener
  • func (a *AspectEliminationBiasListener) Identifier() string
  • func (a *AspectEliminationBiasListener) Merge(params model.MethodParameters, addition model.MethodParameters) model.MethodParameters
  • func (a *AspectEliminationBiasListener) OnCriteriaRemoved(leftCriteria *model.Criteria, params model.MethodParameters) model.MethodParameters
  • func (a *AspectEliminationBiasListener) OnCriterionAdded(criterion *model.Criterion, referenceCriterion *model.Criterion, ...) model.AddedCriterionParams
  • func (a *AspectEliminationBiasListener) RankCriteriaAscending(params *model.DecisionMakingParams) *model.WeightedCriteria
• type AspectEliminationEvaluation
• type AspectEliminationHeuristic
  • func NewAspectEliminationHeuristic(functions []satisfaction_levels.SatisfactionLevelsSource, ...) *AspectEliminationHeuristic
  • func (a *AspectEliminationHeuristic) Evaluate(dmp *model.DecisionMakingParams) *model.AlternativesRanking
  • func (a *AspectEliminationHeuristic) Identifier() string
  • func (a *AspectEliminationHeuristic) MethodParameters() interface{}
  • func (a *AspectEliminationHeuristic) ParseParams(dm *model.DecisionMaker) interface{}
• type AspectEliminationHeuristicParams

Types

type AspectEliminationBiasListener

type AspectEliminationBiasListener struct {
	// contains filtered or unexported fields
}

func NewAspectEliminationBiasListener

func NewAspectEliminationBiasListener(
	satisfactionLevelsUpdateListeners satisfaction_levels.SatisfactionLevelsUpdateListeners,
) *AspectEliminationBiasListener

func (*AspectEliminationBiasListener) Identifier

func (a *AspectEliminationBiasListener) Identifier() string

func (*AspectEliminationBiasListener) Merge

func (a *AspectEliminationBiasListener) Merge(params model.MethodParameters, addition model.MethodParameters) model.MethodParameters

func (*AspectEliminationBiasListener) OnCriteriaRemoved

func (a *AspectEliminationBiasListener) OnCriteriaRemoved(
	leftCriteria *model.Criteria,
	params model.MethodParameters,
) model.MethodParameters

func (*AspectEliminationBiasListener) OnCriterionAdded

func (a *AspectEliminationBiasListener) OnCriterionAdded(
	criterion *model.Criterion,
	referenceCriterion *model.Criterion,
	params model.MethodParameters,
	generator utils.ValueGenerator,
) model.AddedCriterionParams

func (*AspectEliminationBiasListener) RankCriteriaAscending

func (a *AspectEliminationBiasListener) RankCriteriaAscending(params *model.DecisionMakingParams) *model.WeightedCriteria

type AspectEliminationEvaluation

type AspectEliminationEvaluation struct {
	NotSatisfiedThreshold model.Weights `json:"notSatisfiedThreshold"`
	ThresholdsIndex       int           `json:"thresholdsIndex"`
}

type AspectEliminationHeuristic

type AspectEliminationHeuristic struct {
	// contains filtered or unexported fields
}

func NewAspectEliminationHeuristic

func NewAspectEliminationHeuristic(
	functions []satisfaction_levels.SatisfactionLevelsSource,
	generator utils.SeededValueGenerator,
) *AspectEliminationHeuristic

func (*AspectEliminationHeuristic) Evaluate

func (a *AspectEliminationHeuristic) Evaluate(dmp *model.DecisionMakingParams) *model.AlternativesRanking

func (*AspectEliminationHeuristic) Identifier

func (a *AspectEliminationHeuristic) Identifier() string

func (*AspectEliminationHeuristic) MethodParameters

func (a *AspectEliminationHeuristic) MethodParameters() interface{}

func (*AspectEliminationHeuristic) ParseParams

func (a *AspectEliminationHeuristic) ParseParams(dm *model.DecisionMaker) interface{}

type AspectEliminationHeuristicParams

type AspectEliminationHeuristicParams struct {
	Function                   string        `json:"function"`
	Params                     interface{}   `json:"params"`
	RandomSeed                 int64         `json:"randomSeed"`
	Weights                    model.Weights `json:"weights"`
	RandomAlternativesOrdering bool          `json:"randomAlternativesOrdering"`
}