Research Article
A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry
Table 9
Summary of disadvantages of MCDM models.
| Differences | AHP | FAHP | TOPSIS | FTOPSIS |
FAHPiFTOPSIS |
| When a problem is decomposed into subsystems, the decision problem might become very large and lengthy [7] | Y | | | | | AHP’s using crisp number, hence not able to reflect human thinking style [7] | Y | | | | | When a number of alternatives and criteria increased, pair-wise comparison becomes cumbersome and risk of inconsistencies grows [22, 25–27] | | Y | | | | Problem is not decomposed into hierarchy hence decision maker might encounter difficulty to simplify the problem | | | Y | Y | | Integration with FAHP resulted in a number of extra steps to be followed | | | | | Y | Does not take into account the uncertainty associated with the mapping of one’s judgment to a number [23] | Y | | | | | FAHP requires more complex computations than FTOPSIS which includes pair wise comparison [22, 28] | | Y | | | | In the extent analysis of FAHP, the priority weights of criterion or alternative can be equal to zero [22] | | Y | | | |
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Note: Y means the differences are applicable for the respective MCDM.
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