The steps of the fuzzy AHP technique using Chang’s method can be given as follows:
STEP 1: Draw the hierarchical chart
STEP 2: Define fuzzy numbers for performing the pair-wise comparisons
STEP 3: Create the pair-wise comparison matrix using fuzzy numbers
The pair-wise comparison matrix can be expressed as follows:
If there are several experts, elements of a complete pairwise comparison matrix used in the fuzzy AHP method is a triangular fuzzy number where the first component (l) is the least comments, the second component (m) is the mean of numbers and the third component (u) is the maximum number.
STEP 4: Calculate for each row of the pair-wise comparison matrix
can be calculated using the following formula:
Where i represents the row number and j denotes the column number. In the formula, is triangular fuzzy numbers of pairwise comparison matrices. The values of and can be calculated by using the following formulas, respectively:
In the above formulas,, and are the first, second, and third components of the fuzzy numbers, respectively.
STEP 5: Compute the magnitude of with respect to each other
In general, if and are two triangular fuzzy numbers, then, as shown in the following figure, the magnitude of with respect to can be defined as follows:
On the other hand, the magnitude of a triangular fuzzy number from k as another triangular fuzzy number can be obtained by the following formula:
STEP 6: Compute the weight of the criteria and alternatives in the pair-wise comparison matrix
The following formula can be used for this purpose:
Therefore, the unnormalized weight vector can be given as follows:
STEP 7: Calculate the final weight vector
To calculate the final weight vector, the calculated weight vector in the previous step should be normalized, then :
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I want more details on the formulas and the steps mentioned here.
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