This chapter offers a detailed presentation of the algorithms and the logic proposed in the previous chapters on the model called Meta-Prospective. The interdependence and conditions of use regarding this proposal are discussed next. The topics at hand include the use of linguistic variables, the process or identifying endo- and exo-signals, the process of consolidating an FCM that represents the cognitive model, the process of consolidating the matrices of events using the TIA model, the computation process to calculate the trajectories associated with the FLighTS, the algorithm to create a range of futuribles and choose the most convenient option, the routing algorithm to identify the trajectory of the scenario that is chosen as the most convenient, and the algorithm to apply fuzzy MCDM methods in order to prioritize the strategic actions that contribute to the process of interface between prospective and strategy; and, finally, the strategic fitting, a recalibration process that combines FLighTS with the scenario chosen as the most convenient.
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