Index

A

all_corrs (pysensmcda.compromise.ICRA.ICRAResults attribute) all_preferences (pysensmcda.compromise.ICRA.ICRAResults attribute)

all_rankings (pysensmcda.compromise.ICRA.ICRAResults attribute) are_indexes_valid() (pysensmcda.validator.Validator static method)

B

borda() (in module pysensmcda.compromise.borda)

C

calculate_preference() (in module pysensmcda.calculate_preference)

chisquare_distribution() (in module pysensmcda.criteria.random_distribution.chisquare_distribution)

D

discrete_modification() (in module pysensmcda.alternative.discrete)

dominance_directed_graph() (in module pysensmcda.compromise.dominance_directed_graph)

F

final_preferences (pysensmcda.compromise.ICRA.ICRAResults attribute)

final_rankings (pysensmcda.compromise.ICRA.ICRAResults attribute) fuzzy_ranking() (in module pysensmcda.ranking.fuzzy_ranking)

G

generate_weights_scenarios() (in module pysensmcda.criteria.scenarios)

H

heatmap() (in module pysensmcda.graphs.heatmap)

hist_dist() (in module pysensmcda.graphs.values_distribution) HQ_compromise() (in module pysensmcda.compromise.HQ_compromise)

I

ICRA_pref_distribution() (in module pysensmcda.graphs.preference_distribution) ICRAResults (class in pysensmcda.compromise.ICRA) improved_borda() (in module pysensmcda.compromise.improved_borda) initial_preferences (pysensmcda.compromise.ICRA.ICRAResults attribute) initial_rankings (pysensmcda.compromise.ICRA.ICRAResults attribute) is_array_2D_3D() (pysensmcda.validator.Validator static method) is_callable() (pysensmcda.validator.Validator static method) is_dimension_valid() (pysensmcda.validator.Validator static method) is_in_list() (pysensmcda.validator.Validator static method)

is_in_range() (pysensmcda.validator.Validator static method) is_key_in_dict() (pysensmcda.validator.Validator static method) is_positive_value() (pysensmcda.validator.Validator static method) is_shape_equal() (pysensmcda.validator.Validator static method) is_sum_valid() (pysensmcda.validator.Validator static method) is_type_in_dict_valid() (pysensmcda.validator.Validator static method) is_type_valid() (pysensmcda.validator.Validator static method) iterative_compromise() (in module pysensmcda.compromise.ICRA) iters_number (pysensmcda.compromise.ICRA.ICRAResults attribute)

L

laplace_distribution() (in module pysensmcda.criteria.random_distribution.laplace_distribution)

M

memory_guard() (in module pysensmcda.utils) module pysensmcda.alternative.discrete pysensmcda.alternative.percentage pysensmcda.alternative.range pysensmcda.alternative.removal pysensmcda.calculate_preference pysensmcda.compromise.borda pysensmcda.compromise.dominance_directed_graph pysensmcda.compromise.HQ_compromise pysensmcda.compromise.ICRA pysensmcda.compromise.improved_borda pysensmcda.compromise.rank_position pysensmcda.criteria.identification pysensmcda.criteria.percentage pysensmcda.criteria.random_distribution.chisquare_distribution pysensmcda.criteria.random_distribution.laplace_distribution pysensmcda.criteria.random_distribution.normal_distribution pysensmcda.criteria.random_distribution.random_distribution pysensmcda.criteria.random_distribution.triangular_distribution pysensmcda.criteria.random_distribution.uniform_distribution pysensmcda.criteria.range pysensmcda.criteria.removal pysensmcda.criteria.scenarios pysensmcda.graphs.heatmap pysensmcda.graphs.pd_ranking_graph pysensmcda.graphs.preference_distribution pysensmcda.graphs.rankings_distribution pysensmcda.graphs.values_distribution pysensmcda.graphs.weights_barplot pysensmcda.probabilistic.monte_carlo_weights pysensmcda.probabilistic.perturbed_matrix pysensmcda.probabilistic.perturbed_weights pysensmcda.ranking.alteration pysensmcda.ranking.demotion pysensmcda.ranking.fuzzy_ranking pysensmcda.ranking.promotion pysensmcda.utils pysensmcda.validator

monte_carlo_weights() (in module pysensmcda.probabilistic.monte_carlo_weights) multi_hist_dist() (in module pysensmcda.graphs.values_distribution)

N

normal_distribution() (in module pysensmcda.criteria.random_distribution.normal_distribution)

P

pd_rankings_graph() (in module pysensmcda.graphs.pd_ranking_graph) percentage_graph() (in module pysensmcda.graphs.pd_ranking_graph) percentage_modification() (in module pysensmcda.alternative.percentage) (in module pysensmcda.criteria.percentage) perturbed_matrix() (in module pysensmcda.probabilistic.perturbed_matrix) perturbed_weights() (in module pysensmcda.probabilistic.perturbed_weights) preference_distribution() (in module pysensmcda.graphs.preference_distribution) pysensmcda.alternative.discrete module pysensmcda.alternative.percentage module pysensmcda.alternative.range module pysensmcda.alternative.removal module pysensmcda.calculate_preference module pysensmcda.compromise.borda module pysensmcda.compromise.dominance_directed_graph module pysensmcda.compromise.HQ_compromise module pysensmcda.compromise.ICRA module pysensmcda.compromise.improved_borda module pysensmcda.compromise.rank_position module pysensmcda.criteria.identification module pysensmcda.criteria.percentage module pysensmcda.criteria.random_distribution.chisquare_distribution module pysensmcda.criteria.random_distribution.laplace_distribution module pysensmcda.criteria.random_distribution.normal_distribution module pysensmcda.criteria.random_distribution.random_distribution module

pysensmcda.criteria.random_distribution.triangular_distribution module pysensmcda.criteria.random_distribution.uniform_distribution module pysensmcda.criteria.range module pysensmcda.criteria.removal module pysensmcda.criteria.scenarios module pysensmcda.graphs.heatmap module pysensmcda.graphs.pd_ranking_graph module pysensmcda.graphs.preference_distribution module pysensmcda.graphs.rankings_distribution module pysensmcda.graphs.values_distribution module pysensmcda.graphs.weights_barplot module pysensmcda.probabilistic.monte_carlo_weights module pysensmcda.probabilistic.perturbed_matrix module pysensmcda.probabilistic.perturbed_weights module pysensmcda.ranking.alteration module pysensmcda.ranking.demotion module pysensmcda.ranking.fuzzy_ranking module pysensmcda.ranking.promotion module pysensmcda.utils module pysensmcda.validator module

R

random_distribution() (in module pysensmcda.criteria.random_distribution.random_distribution) range_modification() (in module pysensmcda.alternative.range) (in module pysensmcda.criteria.range) rank_graph() (in module pysensmcda.graphs.pd_ranking_graph) rank_position() (in module pysensmcda.compromise.rank_position) ranking_alteration() (in module pysensmcda.ranking.alteration)

ranking_demotion() (in module pysensmcda.ranking.demotion) ranking_promotion() (in module pysensmcda.ranking.promotion) rankings_distribution() (in module pysensmcda.graphs.rankings_distribution) relevance_identification() (in module pysensmcda.criteria.identification) remove_alternatives() (in module pysensmcda.alternative.removal) remove_criteria() (in module pysensmcda.criteria.removal)

S

slider_weights_barplot() (in module pysensmcda.graphs.weights_barplot)

T

triangular_distribution() (in module pysensmcda.criteria.random_distribution.triangular_distribution)

U

uniform_distribution() (in module pysensmcda.criteria.random_distribution.uniform_distribution)

V

Validator (class in pysensmcda.validator)

vector_normalization() (in module pysensmcda.compromise.improved_borda)

W

weights_barplot() (in module pysensmcda.graphs.weights_barplot)