Abstract—In this paper, the comparison of composite programming and compromise programming for the aircraft selection problem is discussed using the multiple criteria decision analysis method. The decision making process requires the prior definition and fulfillment of certain factors, especially when it comes to complex areas such as aircraft selection problems. The proposed technique gives more efficient results by extending the composite programming and compromise programming, which are widely used in modeling multiple criteria decisions. The proposed model is applied to a practical decision problem for evaluating and selecting aircraft problems. A selection of aircraft was made based on the proposed approach developed in the field of multiple criteria decision making. The model presented is solved by using the following methods: composite programming, and compromise programming. The importance values of the weight coefficients of the criteria are calculated using the mean weight method. The evaluation and ranking of aircraft are carried out using the composite programming and compromise programming methods. In order to determine the stability of the model and the ability to apply the developed composite programming and compromise programming approach, the paper analyzes its sensitivity, which involves changing the value of the coefficient λ and q in the first part. The second part of the sensitivity analysis relates to the application of different multiple criteria decision making methods, composite programming and compromise programming. In addition, in the third part of the sensitivity analysis, the Spearman correlation coefficient of the ranks obtained was calculated which confirms the applicability of all the proposed approaches. Keywords—composite programming, compromise programming, additive weighted model, multiplicative weighted model, multiple criteria decision making analysis, MCDMA, aircraft selection. I. INTRODUCTION ULTIPLE criteria decision making analysis (MCDMA) is an important situation that expresses preference based on viable attributes, which are described as multiple criteria in a decision environment. MCDMA is a quantitative method for ranking decision alternatives and selecting the best one when the decision maker has multiple criteria. With MCDMA, the decision maker selects the alternative that best meets the decision criteria and develops a numerical score to rank each decision alternative based on how well each alternative meets them. Human judgments and decisions about alternatives can be partial and often difficult to choose the best alternatives. Out of many MCDMA methods, only a few are mentioned C. Ardil is with the National Aviation Academy, Baku, Azerbaijan. https://orcid.org/0000-0003-2457-7261 such as preference analysis for reference ideal solution (PARIS) [1-4], analytical hierarchical process (AHP) [5-7], VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [8-10], preference ranking organization method for enrichment evaluation (PROMETHEE) [11-14], technique for order of preference by similarity to ideal solution (TOPSIS) [15-18], ÉLimination et Choix Traduisant la REalité (ELECTRE) [19-20], and fuzzy decision making, and so on. Fuzzy [21-22], intuitionistic [28], and neutrosophic [29] decision making techniques are widely used in the evaluation of uncertainty problems. MCDMA approaches usually combine both quantitative and qualitative factors to evaluate a decision making problem to arrive at optimum solutions. Therefore, decision maker takes into account both types of factors influencing the classification, ranking, and selection problem. Mostly, the values for the qualitative criteria are not accurately defined for decision makers. Moreover, individual evaluations and importance weights of criteria are usually defined as “very low”, “low”, “medium”, “high”, “very high”. So, it is quite hard to accurately quantify the rating of each alternative. Selecting an appropriate aircraft model is important to increase the effectiveness of the operation schemes. A few studies deal with the aircraft selection problem. Aircraft selection problem is one of the most important strategic decisions due to its cost and flight effects. The aim of this study is to present a new composite programming approach additive weighted model, and multiplicative weighted model, which are applied in MCDMA problems with utility function for the selection of potential aircraft candidates. The aircraft selection problem is conceptualized as a multiple criteria decision making analysis problem. The multiple criteria evaluation methodology captures the uncertainty which characterizes the decision context of decision makers. Therefore, this study fills an important gap particularly in aircraft selection problems, and more generally decision problems concerning aviation environment. The MCDMA method employed presents a refined and improved way of dealing with uncertainty in aircraft selection decision problems [1-4, 30-34]. In order to deal with the complex selection problems that arise in the decision environment, various multiple criteria decision making analysis (MCDMA) methods have already been proposed and augmented in different fields [35-36]. Every selection problem basically consists of four main . C. Ardil Comparison of Composite Programming and Compromise Programming for Aircraft Selection Problem Using Multiple Criteria Decision Making Analysis Method M World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering Vol:15, No:11, 2021 479 International Scholarly and Scientific Research & Innovation 15(11) 2021 ISNI:0000000091950263 Open Science Index, Aerospace and Mechanical Engineering Vol:15, No:11, 2021 publications.waset.org/10012329/pdf