Data mining with a simulated annealing based fuzzy classification system

@article{Mohamadi2008DataMW,
  title={Data mining with a simulated annealing based fuzzy classification system},
  author={Hamid Mohamadi and Jafar Habibi and Mohammad Saniee Abadeh and Hamid Saadi},
  journal={Pattern Recognition},
  year={2008},
  volume={41},
  pages={1824-1833}
}
In this paper, the use of simulated annealing (SA) metaheuristic for constructing a fuzzy classification system is presented. In several previous investigations, the capability of fuzzy systems to solve different kinds of problems has been demonstrated. Simulated annealing based fuzzy classification system (SAFCS), hybridizes the learning capability of SA metaheuristic with the approximate reasoning method of fuzzy systems. The objective of this paper is to illustrate the ability of SA to… CONTINUE READING
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