API Documentation

desdeo_mcdm.interactive Package

This module contains interactive methods and related requests implemented as classes.

Functions

validate_response(n_objectives, z_current, …)	Validate decision maker’s response.
validate_preferences(n_objectives, response)	Validate decision maker’s preferences.
validate_n2_preferences(n_objectives, response)	Validate decision maker’s preferences in NAUTILUS 2.
validate_n_iterations(n_it)	Validate decision maker’s preference for number of iterations.

Classes

ENautilus(pareto_front, ideal, nadir[, …])
ENautilusException	Raised when an exception related to ENautilus is encountered.
ENautilusInitialRequest(ideal, nadir)	A request class to handle the initial preferences.
ENautilusRequest(ideal, nadir, points, …)	A request class to handle the intermediate requests.
ENautilusStopRequest(preferred_point)	A request class to handle termination.
Nautilus(problem, ideal, nadir[, epsilon, …])	Implements the basic NAUTILUS method as presented in |Miettinen_2010|.
NautilusV2(problem, starting_point, ideal, nadir)	Implements the NAUTILUS 2 method as presented in |Miettinen_2015|.
NautilusException	Raised when an exception related to Nautilus is encountered.
NautilusInitialRequest(ideal, nadir)	A request class to handle the Decision maker’s initial preferences for the first iteration round.
NautilusRequest(z_current, nadir, …)	A request class to handle the Decision maker’s preferences after the first iteration round.
NautilusStopRequest(x_h, f_h)	A request class to handle termination.
NautilusNavigator(pareto_front, ideal, nadir)	Implementations of the NAUTILUS Navigator algorithm.
NautilusNavigatorException	Raised when an exception related to NAUTILUS Navigator is encountered.
NautilusNavigatorRequest(ideal, nadir, …)	Request to handle interactions with NAUTILUS Navigator.
NIMBUS(problem[, scalar_method])	Implements the synchronous NIMBUS algorithm.
NimbusException	Risen when an error related to NIMBUS is encountered.
NimbusClassificationRequest(method, ref)	A request to handle the classification of objectives in the synchronous NIMBUS method.
NimbusIntermediateSolutionsRequest(…)	A request to handle the computation of intermediate points between two previously computed points.
NimbusMostPreferredRequest(solution_vectors, …)	A request to handle the indication of a preferred point.
NimbusSaveRequest(solution_vectors, …)	A request to handle archiving of the solutions computed with NIMBUS.
NimbusStopRequest(solution_final, …)	A request to handle the termination of Synchronous NIMBUS.
ReferencePointMethod(problem, ideal, nadir)	Implements the Reference Point Method as presented in |Wierzbicki_1982|.
RPMException	Raised when an exception related to Reference Point Method (RFM) is encountered.
RPMInitialRequest(ideal, nadir)	A request class to handle the Decision Maker’s initial preferences for the first iteration round.
RPMRequest(f_current, f_additionals, ideal, …)	A request class to handle the Decision Maker’s preferences after the first iteration round.
RPMStopRequest(x_h, f_h)	A request class to handle termination.

Class Inheritance Diagram

desdeo_mcdm.utilities Package

This module contains various utilities used in different interactive methods.

Functions

payoff_table_method(problem[, …])	Uses the payoff table method to solve for the ideal and nadir points of a MOProblem.
payoff_table_method_general(…[, …])	Solves a representation for the nadir and ideal points for a multiobjective minimization problem with objectives defined as the result of some objective evaluator.
solve_pareto_front_representation(problem[, …])	Pass through to solve_pareto_front_representation_general when the problem for which the front is being calculated for is defined as an MOProblem object.
solve_pareto_front_representation_general(…)	Computes a representation of a Pareto efficient front from a multiobjective minimizatino problem.
weighted_scalarizer(xs, ws)	A simple linear weight based scalarizer.