Data envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. In this paper, we study the measurement of DMU performances in DEA in situations where input and/or output values are given as imprecise data. By imprecise data we mean situations where we only know that the actual val...

− The fuzzy weighted average (FWA) is used in many engineering problems where aggregation of fuzzy information is dealt with. In this framework, many algorithms have been proposed to compute efficiently the FWA according to Zadeh's extension principle. However, due to fuzzy interval calculus, the exact solution presents a characteristic that may be viewed as an important drawback. Indeed, repla...

Optimistic reconciliation allows, multiple update of shared data without synchronization. The assumption is that the vast majority of the actions will not conflict. In those systems, write availability is raised in the presence of network failures, high latencies or parallel development. However, in order to remain consistent, optimistic systems repair divergences. To produce a new consistent s...

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...