Informatica

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.

A lot of data had to be processed and evaluated in carrying out multivariant design and multiple criteria analysis of a building life cycle. The number of feasible alternatives can be as large as 100 000. Each of the alternatives may be described from various perspectives (economic, technical, qualitative, technological, social, legislative, infrastructural, etc.). The problem arises how to perform multivariant design and multiple criteria analysis of the alternative variants based on this enormous amount of information. To solve this problem the methods of multivariant design and multiple criteria building life cycle analysis were developed. In order to demonstrate the theory an example is given in this paper.