Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Reference
Adegoke, A., & Traoré, M. (2014). System of systems based approaches to global simulation in Africa. In Proceedings of the 2014 Annual Simulation Symposium.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Trujillo-Cabezas, R., Verdegay, J.L. (2020). Meta-Prospective Toolbox. In: Integrating Soft Computing into Strategic Prospective Methods. Studies in Fuzziness and Soft Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-25432-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-25432-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25431-5
Online ISBN: 978-3-030-25432-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)