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The real-time regulation of an urban collective transport network is a very delicate problem, especially in case of appearance of simultaneous disturbances (vehicle's breakdown, strike, demonstration.... etc). Our purpose here is to assist the regulators (decision-makers) and to propose them effective solutions by taking into account their preferences and uncertainties related to these preferences. In this optic, we develop a hybrid approach based on a fuzzy evaluation method and on an evolutionary algorithm using the Pareto ∈-dominance concept. The use of the fuzzy logic has for advantage to allow us to represent uncertainties and fuzziness. The use of the ∈-dominance criterion have two advantages: it helps to reduce the cardinality of Pareto-optimal region and it ensures that the solutions diversity is preserved.