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Handling imprecise evaluations in multiple criteria decision aiding and robust ordinal regression by n-point intervals
2016
Fuzzy Optimization and Decision Making
We consider imprecise evaluation of alternatives in multiple criteria ranking problems. The imprecise evaluations are represented by n-point intervals which are defined by the largest interval of possible evaluations and by its subintervals sequentially nested one in another. This sequence of subintervals is associated with an increasing sequence of plausibility, such that the plausibility of a subinterval is greater than the plausibility of the subinterval containing it. We explain the
doi:10.1007/s10700-016-9244-x
fatcat:gon5jzxaebhmbljkfggzq64iqu