β Scribed by Zhimin Huang; Susan X. Li; Veeravalli Raghavan; D. Bruce Sun
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper hierarchical multicriteria optimization problems are addressed in a convex programming framework. It is assumed that the criteria are aggregated into a nonlinear function, which renders the problem nonseparable, in general. The projection of the problem onto the criteria space is used
This article proposes a principled approach to multicriteria decision making (MCDM) where the worth of decisions along attributes is not supposed to be quantified, as in multiattribute utility theory, or even measured on a unique scale. This approach actually generalizes additive concordance rules a
## Abstract Multicriteria approval (MA) and stochastic multicriteria acceptability analysis with ordinal criteria (SMAAβO) methods have been specially developed for making use of lowβquality information in multicriteria decision support. In this study, MA and SMAAβO are applied to forestry decision