Unsymmetrical basic uncertain information with some decision-making methods

Motivated by a specific decision-making situation, this work proposes the concept and definition of unsymmetrical basic uncertain information which is further generalization can model uncertainties in some new situations. We show that sense linguistic hedges such as “at least” most”. Formative weighted arithmetic means induced aggregations are defined for proposed concept. Rules-based decision making semi-copula based integral with numerical examples also presented.