Stochastic Ranking of Alternatives with Ordered Weighted Averaging: Comparing Network Recovery Strategies

For those scholars and practitioners interested in comparing alternatives when the criterion used to evaluate and rank them exhibits randomness described by a probability distribution. We introduce a new approach, published in System Engineering (https://onlinelibrary.wiley.com/doi/10.1002/sys.21367/full), that rather than relying on the expected value to compare alternatives, it uses a multicriteria decision-making technique, ordered weighted averaging (OWA), for such a comparison. The percentiles of the cumulative distributions describing the evaluation criterion act as the “multiple criteria” in OWA, and also it allows us modelling the decision makers’ preferences toward risk. The technique is applied to the comparison of link recovery sequences in a network disruption problem.