Inference                package:FKBL                R Documentation

_G_e_t_s _t_h_e _v_e_c_t_o_r _o_f _c_l_a_s_s_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     Uses a knowledge base to infer the vector of classes for a given
     dataset problem. For every case in the problem, the rules at the
     knowledge base are used to determinate the most appropriate class.
     It uses the Voting-based method. Described in chapter 2, pages
     022-025 at Ishibuchi et al.$

_U_s_a_g_e:

      Inference(kB,train)

_A_r_g_u_m_e_n_t_s:

     Takes the knowledge base and the train dataset.

      kB: The knowledge base.

   train: The train data.

_V_a_l_u_e:

     Returns the vector of classes.

_E_x_a_m_p_l_e_s:

      data(kB)
      data(trainA)
      Inference(kB,trainA)

