Module for calculation PrefRank scores using preference information given by decision maker.]]>https://bitbucket.org/Krzysztof_Martyn/prefrankAlternatives to consider.Aggregated preferences matrix.Preference information about alternatives. Strength for the alternative is given to the value of true, weakness for false, when no value is given, the alternative does not gain strength or weakness.Parameter specifies the algorithm to calculate ranking. There are three algorithms to choose from: PageRank, HITS and Salsa.
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]]>PrefRank with preference information Iprefrank_with_preference_information_1PrefRank with preference information IIprefrank_with_preference_information_2PrefRank with preference information IIIprefrank_with_preference_information_3item0Damping factorThe real value must be between 0 and 1= 0 && %2 <= 1 ]]>0.15Number of iterationThe value should be greater than 1 1]]>100Turning on the version with averaging the score value, if after "number of iteration" iteration the score does not converge, that is: the maximum score difference between the last two iterations is greater than 0.001.falseEarlier stop if the maximum difference in score between two consecutive iterations is less than 0.00001true