Crisp values are insufficient to model real-life situations and imprecise ideas frequently represented in multicriteria decision aid analysis. In fact, it is difficult treat the evaluation criteria precisely fix exact preferences rating. The triangular intuitionistic fuzzy numbers succeeded this kind of ambiguity a great deal research than other forms representation functions. field sorting iss...

The importance of correct and clear decisions during a complex difficult situation is very easy to understand, but not so achieve. Especially in situations where decision-makers must decide under time pressure uncertainty. For instance, typical crisis have such characteristics. Given the uncertainty, subjectivity ambiguity human knowledge, are also characterized by conflicting interests. In thi...

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 tak...

Most research on fairness in Machine Learning assumes the relationship between and accuracy to be a trade-off, with an increase leading unavoidable loss of accuracy. In this study, several approaches for fair are studied experimentally analyze group fairness. The results indicated that may even benefit each other, which emphasizes importance selecting appropriate measures performance evaluation...