Computes compromise alternatives and vector q for given alternatives, according to 2 indexes - originally Manhattan and Chebyshev distances for each alternative. This module bases on VIKOR method, from step 3 as a continuation of module VIKOR_SRVectors.
(For outputs, see below)
Definitions of alternatives
Weighted and normalized Manhattan distance ranking by minimum value (the maximum group utility)
Weighted and normalized Chebyshev distance ranking by minimum value (the minimum individual regret of the opponent)
Weight of the strategy of S and R
<programParameters> <parameter id="v"> <values> <value> <real>%1</real> </value> </values> </parameter> </programParameters>
Weight for the strategy of maximum group utility ranking by minimum value
Messages or errors generated by this module.
For further technical details on the web service underlying this program, have a look at its documentation here.