Multi-Attribute Decision-Making Model by Applying Grey Numbers
Multi-attribute analysis is a useful tool in many economical, managerial, constructional, etc, problems. The accuracy of performance measures in COPRAS (The multi-attribute COmplex PRoportional ASsessment of alternatives) method is usually assumed to he accurate. This method assumes direct and proportional dependence of the Weight and utility degree of investiaged versions on a system of attributes adequately describing the alternatives and on values and weights of the attributes. However. there is usually some uncertainty involved in all multi-attribute model inputs. The objective of this research is to demonstrate flow simulation can be used to reflect fuzzy inputs, which allows more complete interpretation of model results. A case study is used to reflect fuzzy the concept of general contractor choice of on the basis of multiple attributes of efficiency with fuzzy inputs applying CwOPRAS-G method. The research has concluded that the COPRAS-G method is appropriate to use.
multi-attribute decision-making model grey number copras copras-g discrete contractor assessment