Aggregation of utility-based individual preferences for group decision-making

摘要: Abstract Multi-attribute utility theory (MAUT) elicits an individual decision maker’s preferences for single attributes and develops a function by mathematics formulation to add up the of entire set when assessing alternatives. A common aggregation method MAUT group decisions is simple additive weighting (SAW) method, which does not consider different preferential levels ranks makers’ assessments alternatives in group, thus seems too intuitive achieving consensus commitment aggregation. In this paper, differences denoting preference degrees among priorities favorite ranking each maker are both considered aggregated construct discriminative values group. comparative analysis performed compare proposed approach SAW model, satisfaction index used investigate final two resulting decisions. addition, feedback interview conducted understand subjective perceptions makers while examining results obtained from these approaches second practical case. Both investigation show that able achieve more satisfying agreeable than method.