A Comparative Study of the Accuracy of Fuzzy AHP and Classical AHP for Effective Indices Ranking on Products Prioritizing Case Study of Fars Green Pipes Factory

Abstract

In today's real world, many quantitative and qualitative factors such as profitability, quality, price, flexibility, together with developments and innovations must be taken into account to make decisions. For this purpose, to determine the rates and the weights, the linguistic variables can be used and they can be expressed in the form of fuzzy numbers. In this study, one of the multi-criteria decision-making methods called Analytic Hierarchy Process (AHP) in the states of Classic and Fuzzy are investigated to obtain the weight of effective parameters on products prioritizing of Fars Green Pipes Factory. Following data collection, the two mentioned methods are used comparatively. Due to the differences in the obtained results, the accuracy is calculated by the index of Mean Square Error (MSE) and the following results are obtained: 1. in
both methods, the profitability index and the ease of transportation have respectively the highest and the lowest weight of importance at the related case study .2. In conformity with the existent reality, the fuzzy method has higher accuracy than classical method. This difference is confirmed using the index of mean square error .