Computes concordance matrix using procedure which is common to the most methods from the Electre family. This module is an extended version of 'ElectreConcordance' - it brings the concept of 'reinforced_preference', which boils down to the new threshold of the same name and a new input file where the 'reinforcement factors' are defined (one for each criterion where 'reinforced_preference' threshold is present). http://github.com/xor-xor/electre_diviz Bernard Roy and Roman Słowiński; Handling effects of reinforced preference and counter-veto in credibility of outranking; European Journal of Operational Research 188(1):185–190; 2008; doi:10.1016/j.ejor.2007.04.005 Criteria to consider, possibly with 'preference', 'indifference' and 'reinforced preference' thresholds (see also 'reinforcement_factors' input below). Each criterion must have a preference direction specified (min or max). It is worth mentioning that this module allows to define thresholds as constants as well as linear functions. Alternatives to consider. The performance of alternatives. The performance of profiles (boundary or central). Weights of criteria to consider. Definitions of so-called 'reinforcement factors', one per each criterion for which 'reinforcement threshold' has been defined. For more regarding these concepts see the paper from 'Reference' section. Technically, this input is optional, but it doesn't make much sense to use 'ElectreConcordanceReinforcedPreference' without it, since in such scenario it will fall back to 'ElectreConcordance'. Definitions of profiles (boundary or central) which should be used for classes (categories) representation. This parameter specifies the type of elements provided for comparison. Choosing 'boundary_profiles' or 'central_profiles' requires providing inputs 'classes_profiles' and 'profiles_performance_table' as well (which are optional by default). ]]> alternatives vs alternatives alternatives alternatives vs boundary profiles boundary_profiles alternatives vs central (characteristic) profiles central_profiles item0 Concordance matrix computed from the given data. This matrix aggregates partial concordances from all criteria into single concordance index per pair of alternatives or alternatives/profiles. Messages or errors generated by this module.