ABSTRACT
The compromise ranking of alternatives from distance to ideal solution (CRADIS) method is a recently developed MCDM technique based on the determination of the deviations of the alternatives from the ideal and anti-ideal solutions. It basically combines the application steps of ARAS, MARCOS, and TOPSIS methods. It employs the ideal solutions representing the maximum values of the alternatives. To illustrate the numerical computation of CRADIS method in solving MCDM problems, the example of the conveyor belt material (aramid) selection problem is considered in this chapter. The utility functions for each alternative in relation to the deviations from the optimal alternatives are then computed, which are finally employed to determine the corresponding utility degrees of all the candidate conveyor belt materials. When the candidate alternatives are ranked based on the utility degree, alternative M10 emerges out as the best aramid material for design of conveyor belt.
