In the large-scale group decision making (LGDM) consensus process, it is usually assumed
that the obtained clusters do not change. However, as the individual preferences change as …

Set functions are map**s that assign to subsets of a universal set a real number and
appear in many fields of mathematics (pure and applied) and computer sciences …

Generalized Measure Theory examines the relatively new mathematical area of generalized
measure theory. The exposition unfolds systematically, beginning with preliminaries and …

This article tries to clarify the potential role to be played by uncertainty theories such as
imprecise probabilities, random sets, and possibility theory in the risk analysis process …

A possibility measure can encode a family of probability measures. This fact is the basis for a
transformation of a probability distribution into a possibility distribution that generalises the …

The aim of this review is twofold. Firstly, we present the state of the art in dynamic modelling
and model-based design, optimisation and control of food systems. The need for nonlinear …

Numerical possibility distributions can encode special convex families of probability
measures. The connection between possibility theory and probability theory is potentially …

Several simple test problems are used to explore the following approaches to the
representation of the uncertainty in model predictions that derives from uncertainty in model …

Hesitant fuzzy linguistic term sets (HFLTSs) with additional possibility distributions can
represent a much broader range of linguistic data. This paper develops compromise …

Random variability and imprecision are two distinct facets of the uncertainty affecting
parameters that influence the assessment of risk. While random variability can be …