Several decision-making techniques involve pairwise comparisons to elicit the preferences of a decision maker (DM …

The eigenvector method (EM) is well-known to derive information from pairwise comparison matrices in decision making …

descriptive and normative decision analysis. Their non-parametric application allows preference inference by analyzing sets of … additive value models are unlikely to be useful by themselves for decision support in contexts where the decision maker …

his paper provides a review of multiple criteria decision analysis (MCDA) for cases where attribute evaluations are … survey the available decision models that can be used to support uncertain decision making. The review includes models using …

areas of developing countries, have no access to electricity. Decision-making concerning the most appropriate energy … technology for supplying these areas has been difficult; existing energy decision-support tools have been useful but are mostly … of energy. These can affect both community’s livelihoods as well as the confidence of decision-makers in relation to …

information about the relative importance of different impact criteria. This methodology guides decision making by identifying …

rigorous foundation for criteria structures in multi-criteria decision-making, and beyond into wider fields, especially those …, and group decision-making. …