AN EXTENDED SINGLE-VALUED NEUTROSOPHIC AHP AND MULTIMOORA METHOD TO EVALUATE THE OPTIMAL TRAINING AIRCRAFT FOR FLIGHT TRAINING ORGANIZATIONS

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KARAMAŞA Ç., Karabasevic D., Stanujkic D., Kookhdan A. R., Mishra A. R., Erturk M.

FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING, vol.19, no.3, pp.555-578, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 19 Issue: 3
  • Publication Date: 2021
  • Doi Number: 10.22190/fume210521059k
  • Journal Name: FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, zbMATH, Directory of Open Access Journals
  • Page Numbers: pp.555-578
  • Keywords: Training Aircraft Selection, Neutrosophic Sets, Flight Training Organization, Civil Aviation, AHP, MULTIMOORA, GROUP DECISION-MAKING, MULTICRITERIA, SELECTION, RISK, EXTENSION, MODEL, MANAGEMENT, TOPSIS, SWARA
  • Anadolu University Affiliated: Yes

Abstract

Aircraft's training is crucial for a flight training organization (FTO). Therefore, an important decision that these organizations should wisely consider the choice of aircraft to be bought among many alternatives. The criteria for evaluating the optimal training aircraft for FTOs are collected based on the survey approach. Single valued neutrosophic sets (ST/NS) have the degree of truth, indeterminacy, and falsity membership functions and, as a special case, neutrosophic sets (NS) deal with inconsistent environments. In this regard, this study has extended a single-valued neutrosophic analytic hierarchy process (AHP) based on multi-objective optimization on the basis of ratio analysis plus a full multiplicative form (MULTIMOORA) to rank the training aircraft as the alternatives. Moreover, a sensitivity analysis is performed to demonstrate the stability of the developed method. Finally, a comparison between the results of the developed approach and the existing approaches for validating the developed approach is discussed. This analysis shows that the proposed approach is efficient and with the other methods.