the basic models of data envelopment analysis (dea) are designed in such a way that the values of input and output indicators should be identified and known in them. in other words, these models are not used to consider inaccurate, interval, fuzzy, judgment data. in this paper, the aim is to not only review the past researches about the efficiency of the units by interval data and represent the...

On account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMUs in interval environments is a problem worth studying. In this paper, we discussed the new method for evaluation and ranking i...

The VALG project is introducing e-voting to municipal and county elections to Norway. Part of the e-voting system is a mix-net along the lines of Puiggalí et al. a mix-net which can be efficiently verified by combining the benefits of optimistic mixing and randomized partial checking. This paper investigates their mix-net and proposes a verification method which improves both efficiency and pri...