A Flight Base Selection for Flight Academy Using a Rough MACBETH and RAFSI Based Decision-Making Analysis

Abstract

Airport base selection for pilot training academy is an important issue in the aviation industry because incorrect airport selection can have negative impact on flight operations for the flight academy. The aim of this article is to present a novel hybrid decision-making model based on rough numbers for the evaluation of flight training bases (airports). To select the most suitable alternative among five alternatives, a two-stage model is proposed. In the first stage, the measuring attractiveness by a categorical based evaluation technique approach is used to determine the criteria weights. In the second stage, the rough ranking of alternatives through functional mapping of criterion subintervals into a single interval approach is applied to rank the alternative airport bases. The proposed approach provides a new multicriteria framework for evaluating alternatives for the Turkish Airlines Flight Academy pilot training center in Turkey. The results obtained from the case study showed that the proposed approach could be practical for different multicriteria decision-making problems.

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