Evaluation and refinement of aspiration-based methods in MCDM

摘要: Abstract The performance of aspiration-based interactive methods MCDM is evaluated by means a simulation model, based on idealized assumptions regarding preferences the decision maker (DM). It demonstrated that naive application these procedures can lead to premature termination procedure at relatively poor solutions (i.e. relative preferences), leaving much space unexplored DM. This suggests practical steps build form “intelligence” into algorithms for applying methods, ensure an improving sequence examined, and early avoided. studies show with implementation steps, value function-based methodologies produce comparable results, showing greater robustness violations preferential independence criteria.