Multi-Attribute Decision-Making Model by Applying Grey Numbers

Article type: Research Article

Authors: Zavadskas, Edmundas Kazimieras | Kaklauskas, Arturas | Turskis, Zenonas | Tamošaitienė, Jolanta

Affiliations: Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania, e-mail: edmundas.zavadskas@adm.vgtu.lt

Abstract: 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 be accurate. This method assumes direct and proportional dependence of the weight 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.

Keywords: multi-attribute, decision-making, model, discrete, COPRAS, COPRAS-G, grey number, contractor assessment

Journal: Informatica, vol. 20, no. 2, pp. 305-320, 2009