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276         13. Multi-criteria decision-making after life cycle sustainability assessment under hybrid information

                   Step 2: Normalizing the decision-making matrix. The decision-making matrix presented in
                 Eq. (13.17) should be normalized to avoid the influences caused by different dimensions or units.
                 As for the normalization of the data in the decision-making matrix, the data should be normal-
                 ized according to the types of the criteria. As for the data with respect to the benefit-type criteria:

                                                   "  L  U  #
                                                    x  x     h      i
                                                     ij  ij  ¼ y L  y U                     (13.19)
                                                ij
                                               y ¼             ij  ij
                                                    x j x j
                 where y ij , which is an interval number, represents the normalized data of the ith alternative

                                                  L
                                                         U
                 with respect to the jth criterion, and y ij and y ij represent the lower and upper bounds of the
                 interval numbery ij , respectively.

                   x j , which represents the average value of the upper bounds of the data with respect to the
                 jth criterion can be determined by Eq. (13.20).
                                                          M
                                                         X   U
                                                            x
                                                             ij
                                                         i¼1
                                                           M
                                                     x j ¼                                  (13.20)
                   As for the data with respect to the cost-type criteria:
                                                 "   U     L  #
                                                  1=x   1=x    h      i
                                                     ij    ij    L  U
                                                             ¼ y   y                        (13.21)
                                              ij
                                             y ¼                 ij  ij
                                                    x j  x j
                 where y ij , which is an interval number, represents the normalized data of the ith alternative

                                                  L
                                                         U
                 with respect to the jth criterion, and y ij and y ij represent the lower and upper bounds of the
                 interval numbery ij , respectively.

                   x j can be determined by Eq. (13.22).
                                                          M
                                                         X   1
                                                            x L
                                                         i¼1  ij
                                                                                            (13.22)
                                                           M
                                                     x j ¼
                   Then, the normalized decision-making matrix can be determined, as presented in Eq. (13.23).
                                                      C 1  C 2 ⋯ C N
                                                  A 1 y    y    ⋯ y
                                                           12
                                                                   1N
                                                       11
                                              Y ¼ A 2 y    y    ⋯ y                         (13.23)
                                                                   2N
                                                           22
                                                       21
                                                   ⋮   ⋮   ⋮  ⋱    ⋮
                                                  A M y    y    ⋯ y
                                                       M1  M2     MN
                 where Y represents the normalized decision-making matrix.
                   Step 3: Determining the weights of the N criteria for sustainability assessment. The interval
                 best-worst method developed by Ren (2018b) is based on the works of Rezaei (2015, 2016) and
                 Entani et al. (2001). It consists of three sub-steps:
                   Sub-step 1: Determining the most important (i.e., the best) criterion and the least important
                 (i.e., the worst) criterion according to the opinions of the stakeholders in the decision-making
                 process, denoted by C B and C W , respectively (Rezaei, 2015, 2016).
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