I re-examine Hirschman’s classic text Exit, Voice, and Loyalty through a game-theoretic interpretation of the relationship between exit and voice. The model, which is general and applicable to diverse environments, treats exit as a costly decision, which may be prevented through an appropriate choice of policy by the leadership of an organization. Voice – the capacity of an organization’s membe...

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In the last decades, qualitative approaches to probabilistic uncertainty are receiving wider and wider attention. We propose a characterization of partial preference orders through an uniform axiomatic treatment of a variety of qualitative uncertainty notions. To this aim we prove a representation result that connects qualitative notions of partial uncertainty to their numerical counterparts. W...

Uncertainty theory is a new branch of axiomatic mathematics for studying the subjective uncertainty. In uncertain theory, uncertain variable is a fundamental concept, which is used to represent imprecise quantities (unknown constants and unsharp concepts). Entropy of uncertain variable is an important concept in calculating uncertainty associated with imprecise quantities. This paper introduces...

Considering that excessive sample data points are needed in the probabilistic method, in this paper, two non-probabilistic methods are proposed for uncertainty quantification and propagation analysis based on the Gray mathematical theory and the information entropy theory. These two methods can give the interval estimation of true value from the framework of non-probabilistic theory under the c...

Evidence theory provides an alternative to probability theory for the representation of epistemic uncertainty in model predictions that derives from epistemic uncertainty in model inputs, where the descriptor epistemic is used to indicate uncertainty that derives from a lack of knowledge with respect to the appropriate values to use for various inputs to the model. The potential benefit, and he...