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CPS2109 Khalid S. et al.
            Step 1:Weighting Scheme
                Determining  the  weight  of  dimension  is  the  main  concern  of  the
            multidimensional poverty measurement. The choice of an appropriate weight
            is one of the fundamental steps in the calculation of poverty composite indices
            of. As part of this work, we use the method proposed by Cerioli and Zani, which
            evolves around the following relationship:
                                                                  n
                               ∑ n  n
                      w = ln [  i=1  i  ]            (1)                avec          ∑ x n   > 0
                       j
                              ∑ n  x n                                ij  i
                                   ij i
                               i=1
                                                                 i=1
            x_ij represents the score of the i-th individual in relation to the j-th dimension,
            and n_i is the weight of an individual or group of individuals. This means that
            the weighting of each dimension is weighted by the logarithm of the inverse
            of  the  frequency  of  non-full  or  partial  fulfillment  of  this  dimension  (the
            dimension of deprivation score).
            Step 2: Standardization of measurement variables: Determination of the
            the score function.
                This function is defined as follows:
                                 1 si φ = φ  min
                                       ij    j
                                  φ max  − φ ij
                          φ =       j           si  φ min  ≤ φ ≤ φ max       (2)
                           ij
                                                           ij
                                                                j
                                                   j
                                 φ max  − φ min
                                           j
                                   j
                                             max
                                { 0 si φ = φ j
                                       ij
            with Φ_ij the score of the i-th individual in relation to the variable j-th; φ_j ^
            min  ^  φ_j  and  max  are  the  minimum  and  maximum  values.  Each  score  is
            associated with a value between 0 and 1, representing this variable in a given
            individual or household, the degree of deprivation.
                For  each  dimension  with  more  than  one  variable,  a  weighted  score  is
            calculated as follows:
                                              
                                        = ∑           (3)
                                                 
                                                    
                                        
                                            =
                With n_k number of variable dimension j, r_p is the relative weight assigned
            to  the  variable  p  with r ≥ 0 and ∑ n k  r = 1,  and φ  is  the  membership
                                                                  ip
                                    p
                                                     p
                                                 p=1
            function of household i for the variable p.
            The r_p weight is obtained from equation (1) by replacing j with p.
            Step 3: Calculate the composite deprivation index (CDI)
                After  calculating  the  weight  assigned  to  each  attribute  (variable)  or
            dimension,  the  last  step  is  the  determination  of  composite  indices  (fuzzy)
            deprivation. To do this, we must first calculate the deprivation composite index
            of each individual or household a_i through the following relationship:

                                    ∑ m  x w j
                                     j=1
                                         ij
                           μ (a ) =          ,         0 ≤ μ (a ) ≤ 1            (5)
                               i
                            B
                                                       B
                                                           i
                                     ∑ m  w
                                      j=1  j
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