THE DS/AHP METHOD UNDER PARTIAL INFORMATION ABOUT CRITERIA AND ALTERNATIVES BY SEVERAL LEVELS OF CRITERIA
Lev V. Utkin () and
Natalia V. Simanova Additional contact information Lev V. Utkin: Department of Computer Science, St.Petersburg State Forest Technical University, Institutski per.5, 194021, St.Petersburg, Russia
Natalia V. Simanova: Department of Computer Science, St.Petersburg State Forest Technical University, Institutski per.5, 194021, St.Petersburg, Russia
An extension of the DS/AHP method is proposed in the paper. It takes into account the fact that the multi-criteria decision problem might have several levels of criteria. Moreover, it is assumed that expert judgments concerning the criteria are imprecise and incomplete. The proposed extension also uses groups of experts or decision makers for comparing decision alternatives and criteria. However, it does not require assigning favorability values for groups of decision alternatives and criteria. The computation procedure for processing and aggregating the incomplete information about criteria and decision alternatives is reduced to solving a finite set of linear programming problems. Numerical examples explain in detail and illustrate the proposed approach.