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Multicriteria decision-making methodologies Chapter | 1  13


             1.2.5.1  Elimination and choice translating reality I
             This is based on the concordance and discordance indexes. The concept of
             concordance and discordance determines the outranking of alternatives.
             The concordance states and measures the intensity of favoring an argument
             placed for an alternative under analysis, whereas discordance gives the
             intensity of the opposition for the same. This method is designed for the
             selection of problems.

             1.2.5.2  Elimination and choice translating reality II
             This method is similar to the ELECTRE I. The only difference is the addi-
             tion of a threshold value to the outranking matrices formed. This method is
             suitable for ranking problems.

             1.2.5.3  Elimination and choice translating reality III
             This method is considered an interaction method as it involves the direct par-
             ticipation of decision maker and the process. The quantitative and qualitative
             criterion can be analyzed. This method is used when there is a necessity to
             quantify a certain criterion.

             1.2.5.4  Elimination and choice translating reality IV
             The ELECTRE IV method allows the construction of several (nested)
             upgrade relationships when it is not possible to assign weights to each of the
             pseudocriteria. Instead, the decision maker must allow that none of the crite-
             ria is dominant or negligible (so able to deal with any grouping of one-half
             of the pseudocriteria).
                Three basic steps are involved in the formulation:
             1. finding the threshold function;
             2. calculation of concordance and discordance indexes; and
             3. determining the outranking degree.
                A detailed flowchart illustrating the ELECTRE method is given in
             Fig. 1.3. A detailed explanation of the previous steps is as follows:
                Step 1: Decision matrix
                The decision matrix is formed similar to those mentioned in Section 1.2.4.
                Step 2: Normalization
                In this step the decision matrix formulated is normalized. This is done by
             making the entries of decision matrix as dimensionless by using the follow-
             ing equation:
                                              p ij
                                                                       ð1:12Þ
                                      x ij 5 s ffiffiffiffiffiffiffiffiffiffiffiffiffiffi
                                              m
                                                  2
                                             P
                                                p kj
                                             k51
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