Abstract
We propose in this paper a unified method for approximating the solution of a System of Fuzzy Relational Equations (SFRE). The method is essentially based on the use of Genetic Algorithms (GA) and on a probabilistic algorithm for solving a SFRE — presented elsewhere. This approach is useful both in classical SFRE problems and in dynamic system identification. Some numerical results regarding both aspects show that our method can be successfully applied.
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© 1997 Springer-Verlag Berlin Heidelberg
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Giuclea, M., Agapie, A. (1997). Genetic Algorithms for solving Systems of Fuzzy Relational Equations. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_108
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DOI: https://doi.org/10.1007/3-540-62868-1_108
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Online ISBN: 978-3-540-69031-3
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