Open AccessAN EXTENDED SINGLE-VALUED NEUTROSOPHIC AHP AND MULTIMOORA METHOD TO EVALUATE THE OPTIMAL TRAINING AIRCRAFT FOR FLIGHT TRAINING ORGANIZATIONS
Author(s) -
Çağlar Karamaşa,
Darjan Karabašević,
Dragiša Stanujkić,
Alireza Rezanezhad Kookhdan,
Arunodaya Raj Mishra,
Mehmet Ertürk
Publication year - 2021
Publication title -
facta universitatis. series: mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.483
H-Index - 16
eISSN - 2335-0164
pISSN - 0354-2025
DOI - 10.22190/fume210521059k
Subject(s) - analytic hierarchy process , computer science , rank (graph theory) , indeterminacy (philosophy) , falsity , multiplicative function , stability (learning theory) , operations research , process (computing) , artificial intelligence , mathematical optimization , machine learning , mathematics , mathematical analysis , operating system , linguistics , philosophy , physics , quantum mechanics , combinatorics
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 (SVNS) 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.