An Integrated Group Decision-Making Approach Considering Uncertainty Conditions

The management of business information processes needs effective decision-making models. That means to involve different methods, techniques, and principles improve competitiveness achieve the planned results. In this context, article deals with problem group under uncertain conditions. To cope such problems some well-known optimization strategies Wald, Laplace, Hurwitz, Savage are modified take into account experts’ opinions importance when forming final decision. Numerical testing is based on a case study for CRM software selection. results discussed proposed models two cases derived from study. conducted numerical demonstrates their applicability simultaneously multiple evaluations uncertainty