Contractor selection multi-attribute model applying COPRAS method with grey interval numbers

Abstract

Multi-attribute analysis is a popular tool in many economical, managerial, constructional, etc. problems. The accuracy of performance measures in COPRAS (The multiple criteria complex proportional assessment of alternatives) method is usually assumed to be accurate. This method assumes direct and proportional dependence of the significance and utility degree of investigated 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 how simulation can be used to reflect fuzzy inputs, which allows more complete interpretation of model results. A case study is used to demonstrate the concept of general contractor choice of on the basis of multiple attributes of efficiency with fuzzy inputs applying COPRAS-G method. The research has concluded that the COPRAS-G method is appropriate to use.