ElectreCredibilityWithCounterVeto - computes credibility matrix using procedure which is common to the most methods from the Electre family. This module is an extended version of 'ElectreCredibility' in that it is designed to work with the 'counter-veto' concept - i.e. it requires an additional input file ('counter_veto_crossed.xml') produced by 'ElectreDiscordance' module, which contains the information for which pairs and on which criteria the 'counter-veto' threshold has been crossed. Please note that unlike 'ElectreCredibility', this module can accept discordance indices only in non-aggregated form (i.e. one index per criterion). 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 Alternatives to consider. Concordance matrix with aggregated concordance indices (i.e. one index per pair of alternatives or alternatives/profiles). This input contains the information (boolean values) for which pairs of variants and on which criteria the 'counter-veto' threshold has been crossed. Discordance indices provided in non-aggregated ('partial' or 'per-criterion') form. Definitions of profiles (boundary or central) which should be used for classes (categories) representation. A set of parameters provided to tune up the module's operation. %1 %2 %3 ]]> 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 This parameter specifies if you want to take into account only sufficiently great discordance (by using '1 - d_j(a, b) / 1 - C(a, b)' instead of '1 - d_j(a, b)' in credibility's equation). In case of selecting this option, only discordance indices for which d_j(a, b) > C(a, b) holds are taken into account. true Use only maximum discordance index in discordance aggregation part of credibility's equation (i.e. '1 - max(d_j(a, b))'). When 'with_denominator' is set to 'true', this parameter is ignored. false

Credibility matrix computed from the given data.

Messages or errors generated by this module.