abstract background and aim: the intolerance of uncertainty model was initially developed as an explanation for worry within the context of generalized anxiety disorder. however, recent research has identified intolerance of uncertainty (iu) as a transdiagnostic maintaining factor across the anxiety disorders. the aim of the present study was to compare the intolerance of uncertainty in patient...

Rough data envelopment analysis (RDEA) evaluates the performance of the decision making units (DMUs) under rough uncertainty assumption. In this paper, new discussion regarding RDEA is extended. The RSBM model is proposed by integrating SBM model and rough set theory. The process of reaching solution is presented and this model is applied to efficiency evaluation of the DMUs with uncertain ...

rainfall-runoff modeling is most important component in the water resource management of river basins. the successful application of a conceptual rainfall-runoff model depends on how well it is calibrated. the degree of difficulty in solving the global optimization method is generally dependent on the dimensionality of the model and certain of the characteristics of object function. the purpose...

uncertainty analysis is a useful tool to evaluate soil water simulations in order to get more information about the models output. these information provide more confidence for decision making processes. in this study, swap model is applied for soil water balance simulations in two fields which are planted by wheat and maize in an arid region. first the amount of uncertainty is estimated and co...

this paper investigates the effect of exchange rate uncertainty on the iran’s import trade. the exchange rate ‎uncertainty series were generated utilizing the tarch model. this model analyzes the asymmetric effects. the analysis of uncertainty and asymmetry ‎of the exchange rate shows significant tarch ‎effect on iran’s exchange rates‎. the findings of the study indicate negative shocks (bad ne...

In this paper we consider decision making under hierarchical imprecise uncertainty models and derive general algorithms to determine optimal actions. Numerical examples illustrate the proposed methods.

In this paper, a method has been developed to construct the membership surfaces of row and column vectors and arithmetic operations of imprecise matrix. A matrix with imprecise elements would be called an imprecise matrix. The membership surface of imprecise vector has been already shown based on Randomness-Impreciseness Consistency Principle. The RandomnessImpreciseness Consistency Principle l...