Fuzzy AHP approach to passenger aircraft type selection

Dožić, Slavica; Lutovac, Tatjana; Kalić, Milica

doi:10.1016/j.jairtraman.2017.08.003

Cited by 81 publications

(34 citation statements)

References 35 publications

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“…While this is sometimes easy for airline planners, sometimes many criteria need to be taken into account to make optimal decisions. Many methods are used in the evaluation process and multi-criteria decision making (MCDM) methods have been provided satisfactory solutions to airlines in selecting aircraft ( Dožić et al, 2018 ). Airlines have different operational requirements according to their network structures and destinations.…”

Section: Introductionmentioning

confidence: 99%

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Kiracı

Akan

2020

Journal of Air Transport Management

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The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, airlines can increase their chances of achieving their long-term goals. New Multi-Criteria Decision Making (MCDM) methods provide decision-makers with a satisfactory solution for choosing suitable aircraft. Therefore, we focused on the multi-dimensional evaluation and selection of the most suitable commercial aircraft alternatives by using new MCDM method. This article provides decision support to airline planners on the selection of commercial aircraft under uncertainty. In the study, unlike other studies in the literature on aircraft selection, the model presented here uses an Interval Type-2 Fuzzy Analytical Hierarch Process (IT2FAHP) and Interval Type-2 Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (IT2FTOPSIS) hybrid methods. The proposed model for aircraft selection allows commercial airlines to evaluate the aircraft in terms of specific criteria: economic performance, technical performance, and environmental impact, and, as a result, it helps decision makers select appropriate aircraft in an uncertain environment. In addition to use by commercial airlines, the methods in the study can also be applied to the selection of training aircraft, cargo aircraft and military aircraft. Our findings show that the Airbus A321neo is the most suitable commercial aircraft in terms of technical aspects, economic aspects and environmental aspects for airlines.

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Section: Introductionmentioning

confidence: 99%

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Kiracı

Akan

2020

Journal of Air Transport Management

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“…It is obvious that their method sorts the P-HFEs with the absolute priorities, which is not very accurate and logical. In the actual assessment problems [17,18], it is not reasonable to say that one P-HFE is absolutely superior to another if they have some common or intersecting values. In a sense, this kind of sorting method for the P-HFEs is not precise.…”

Section: Introductionmentioning

confidence: 99%

A Novel Comparison of Probabilistic Hesitant Fuzzy Elements in Multi-Criteria Decision Making

Song

Zhao

2018

Symmetry

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The probabilistic hesitant fuzzy element is a common tool to deal with multi-criteria decision-making problems when the decision makers are irresolute in providing their evaluations. The existing methods for ranking probabilistic hesitant fuzzy elements are limited and not reasonable in practical applications. The main purpose of this paper is to find a more precise and appropriate comparison method so that we can deal with multi-criteria decision-making problems more efficiently. We first propose a chart technique to analyze the structure of a probabilistic hesitant fuzzy element. After that, we propose a novel possibility degree formula to rank probabilistic hesitant fuzzy elements. Last but not least, we provide a useful process to solve the actual multi-criteria decision-making problems, and make a real case study which demonstrates that our method is feasible and reliable.

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“…To address this concern, the fuzzy analytic hierarchy process (FAHP) has been recommended as a useful move toward having the benefits of classic AHP at the same time as considering the ambiguous and uncertain environment of DM 31‐35 . From civil engineering to healthcare and from the aviation industry to the mining industry, the fuzzy AHP technique is widely utilized in several domains for efficient DM 36‐45 . The software engineering domain also does not remain untouched from the use of the FAHP for effective DM in various software engineering 12,46‐53 …”

Section: Introductionmentioning

confidence: 99%

Software process selection system based on multicriteria decision making

Pandey

Litoriya

2020

J Software Evolu Process

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Whatever be the nature of underlying software, the impact of the software development process that was used to create it would remain vital. The objective of this paper is to provide a process selection framework for the software development firm's engineers and managers, looking to identify the proper way to build software to run on a mobile, web, or desktop. The motivation behind this work comes from the fact that the applications that fall in one of the above three categories can be significantly different in terms of scale, UI, and memory requirements, time to market, and other characteristics. Software development that needs to be completed in a challenging timeframe has to resort to principles and values as declared in Agile Manifesto. The availability of various agile methodologies has made the project managers often stuck when selecting the most suitable one. The proposed agile process identification system addresses this dilemma of engineering fraternity using a fuzzy variant of a popular multiple‐criteria decision‐making (MCDM) technique called the analytic hierarchy process (AHP). The proposed system is validated through a primary dataset generated as a result of the development of 20 software projects. The results are encouraging enough with a probability of true identification close to 88%.

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Fuzzy AHP approach to passenger aircraft type selection

Cited by 81 publications

References 35 publications

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

A Novel Comparison of Probabilistic Hesitant Fuzzy Elements in Multi-Criteria Decision Making

Software process selection system based on multicriteria decision making

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