Abstract
This paper analyses the main variables (causes and effect) related to the Enterprise Architecture in order to obtain an instrument to assess the context of the Enterprise Architecture and the multifactorial elements impregnated with uncertainty that affect it. The knowledge given by the experts is translated into dependence rules, which have also been analyzed from a fuzzy point of view using the fuzzy relation equation theory.
Partially supported by the State Research Agency (AEI) and the European Regional Development Fund (FEDER) project TIN2016-76653-P. This work has been done in collaboration with the research group SOMOS (SOftware-MOdelling-Science) funded by the Research Agency and the Graduate School of Management of the Bío-Bío University.
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Alfonso-Robaina, D., Díaz-Moreno, J.C., Malleuve-Martınez, A., Medina-Moreno, J., Rubio-Manzano, C. (2020). Modeling Enterprise Architecture and Strategic Management from Fuzzy Decision Rules. In: Kóczy, L., Medina-Moreno, J., Ramírez-Poussa, E., Šostak, A. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems. Studies in Computational Intelligence, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-030-16024-1_18
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