A Comparative Study of AHP and Fuzzy AHP Method for Inconsistent Data
This study provides insights into the comparative behavior of AHP and Fuzzy AHP for decision analysts working with inconsistent data, helping them understand potential discrepancies and similarities in results.
This paper compares Analytical Hierarchical Process (AHP) and Fuzzy AHP methods using inconsistent stochastic data. It finds that both methods exhibit similar trends and fluctuations in their outputs, with 50% of cases showing identical up and down fluctuations.
In various cases of decision analysis we use two popular methods: Analytical Hierarchical Process (AHP) and Fuzzy based AHP or Fuzzy AHP. Both the methods deal with stochastic data and can determine decision result through Multi Criteria Decision Making (MCDM) process. Obviously resulting values of the two methods are not same though same set of data is fed into them. In this research work, we have tried to observe similarities and dissimilarities between two methods outputs. Almost same trend or fluctuations in outputs have been seen for both methods for same set of input data which are not consistent. Both method outputs ups and down fluctuations are same for fifty percent cases.