“…Decision-makers specify the probabilities with which constraints are satisfied individually [74,75,108,110,135,171,172,203,234] or jointly [72,73,119,137,228,231,244]. Closely related to this approach, Dong et al [44] propose a stochastic programming model with two objectives: maximising system benefits and maximising the probability that the constraints are satisfied. For cases in which the constraint coefficients are expressed as fuzzy numbers, this concept is adapted by the introduction of a credibility measure.…”