Commercial Aircraft Selection Decision Support Model Using Fuzzy Combinative Multiple Criteria Decision Making Analysis

Multidimensional decision-making issues invariably entail a profusion of factors and dimensions necessitating consideration. In such intricate environments, decision-making can be notably challenging. To navigate this complexity, the realm of Multiple Criteria Decision-Making (MCDM) approaches is indispensable, helping in unraveling convoluted predicaments. This paper introduces a novel approach the Aggregated Summation and Multiplication Analysis (ASMA) — crafted to address MCDM challenges. At the heart of this method lies the utilization of the Euclidean distance as the primary measure and the Rectilinear distance as the secondary measure, both calibrated in accordance with the negative-ideal solution. Determining the desirability of alternatives rests on these distances. Further augmenting the evaluation, the process involves combining the Euclidean and Rectilinear distances through the ASMA method. The efficacy and stability of the ASMA method are underscored through a numerical example, illustrating the proposed method's procedural nuances. A comparative analysis comparing both Euclidean distance and Linear distance with the Weighted Sum Model and the Weighted Product Model is also conducted. This scrutiny underscores the efficiency of the proposed method while affirming the reliability of its outcomes