Evolutionary hierarchical fuzzy modeling of Interval Type-2 Beta Fuzzy Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Yosra Jarraya and Souhir Bouaziz and Adel M. Alimi and 
                 Ajith Abraham",
  booktitle =    "2016 IEEE International Conference on Systems, Man,
                 and Cybernetics (SMC)",
  title =        "Evolutionary hierarchical fuzzy modeling of Interval
                 Type-2 Beta Fuzzy Systems",
  year =         "2016",
  pages =        "003481--003486",
  abstract =     "The automated evolutionary design of an optimal
                 hierarchical fuzzy system combined with the use of
                 Interval Type-2 Fuzzy Systems and the Beta basis
                 function is considered in this study. The resulted
                 proposed system is named the Hierarchical interval
                 Type-2 Beta Fuzzy System (HT2BFS). For the learning
                 process, two main optimisations steps are considered.
                 The first one executes the structure learning of the
                 HT2BFS by the Extended Genetic Programming (EGP)
                 algorithm allowing the generation of an optimal
                 architecture. In the second step, the Opposite-based
                 Particle Swarm Optimisation (OPSO) algorithm is
                 employed for the adjustment of parameters existing in
                 the best obtained architecture. The two optimisation
                 algorithms are interleaved until an optimal HT2BFS is
                 generated. Experiments on some time-series forecasting
                 problems were performed and prove the effectiveness of
                 the proposed system.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/SMC.2016.7844772",
  month =        oct,
  notes =        "Also known as \cite{7844772}",

Genetic Programming entries for Yosra Jarraya Souhir Bouaziz Adel M Alimi Ajith Abraham