A new approach for prioritization in fuzzy AHP with an application for selecting the best tunnel ventilation system

Tunnel design and construction consist of multiple sub-processes among which the selection of proper ventilation system is one of the most important issues. In this problem, several criteria are included in the process; therefore, multi-attribute decision making (MADM) tools should be used for the purpose. One of frequently used MADM methods is fuzzy analytic hierarchy process (AHP) in which uncertainty is also taken into account in the decision-making process. In this paper, using fuzzy data envelopment analysis, a new approach is presented for ranking the alternatives in fuzzy AHP. In this approach, the fuzzy nature of data is kept in all steps of the approach. Furthermore, to determine the consistency level of fuzzy pairwise comparison matrix, an appropriate index is used. Then, the proposed approach is used for selecting the best tunnel ventilation system.