Aircraft type selection using fuzzy trigonometric based OPA and RAFSI model

Muhammet Deveci, Muharrem Enis Çiftçi, Mehtap Isik, Dragan Pamucar, Xin Wen, Tachia Chin, Seifedine Kadry

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The availability of numerous types of aircraft and their technical capabilities are offering a wide range of alternatives. As customers have different expectations, aircraft type selection is a business strategy for the airline companies. The choice on carriers should be made in accordance with disparate dimensions such as customers' expectations, profit of the company, capacity limitations and market conditions. This study formulates aircraft type selection as a Multi Criteria Decision Making (MCDM) problem and proposes a novel model that incorporates fuzzy trigonometric norms to solve. Being differentiated from the existing models in the literature, a two-stage model is identified. In the first stage, a fuzzy trigonometric-based Ordinal Priority Approach (OPA) determines the criteria weights. In the second stage, RAFSI (Ranking of Alternatives through Functional Mapping of Criteria Subintervals into Single Intervals) is integrated to determine the optimal aircraft type. The model simulated for a case of Turkish Airline company. Sensitivity tests justify robustness of the model. Results show that among the four options, medium-scale high-qualified but not luxury aircraft is the best option.

Original languageEnglish
Article number120688
Number of pages22
JournalInformation Sciences
Volume673
DOIs
Publication statusPublished - Jul 2024

Keywords

  • Aircraft type selection
  • Airline fleet assignment
  • Fuzzy OPA
  • Fuzzy trigonometric weighted assessment
  • MCDM

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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