An Extended Single-Valued Neutrosophic Ahp and Multimoora Method to Evaluate the Optimal Training Aircraft for Flight Training Organizations

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 (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.

Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making

“…In the second step, the sensitivity analysis of the FLMAW method to the change of the weight coefficient of the most influential criterion (C1) was performed. This manner of sensitivity analysis is shown in a large number of papers, such as [27,[55][56][57][58]. For this purpose, 20 scenarios (Sc) were developed, where in the first step the value of the weight coefficient of the criterion was reduced by 4%, and in all the following ones by 5%.…”

Application of Hamacher Aggregation Operators in the Selection of the Cite for Pilot Health Project based on Complex T-spherical Fuzzy Information

“…However, the HTNM and HTCNM can be applied to other defined frameworks. Hence, we aim to apply these operations to the type 2 fuzzy set [41][42][43] and trapezoidal intuitionistic fuzzy set [44][45][46]. We also aim to extend this proposed work to the best-worst method [47][48].…”

Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information

“…Some useful investigations (Wang and Liu 2011 ; Ali et al 2021 ; Garg 2016b , 2017b ) have been conducted using Einstein t-norm operations under different fuzzy frameworks. Several pieces of research (Ashraf et al 2022 ; Liu and Wang 2018 ; Sahu et al 2021 ; Limboo and Dutta 2022 ; Kazimieras Zavadskas et al 2020 ; Karamaşa et al 2021 ; Yager 2013b ) have played their part to remove the obscurities during the process of MAGDM or MADM under IFSs, PyFSs, and q-ROFSs. Besides it, some researchers made valuable contributions to enhancing the scope of MADM problems under different fuzzy environments (Wang and Triantaphyllou 2008 ; Arora and Garg 2019 , 2018 ; Xu and Hu 2010 ; Xu 1988 , 2005 ; Viriyasitavat 2016 ; Kaur and Garg 2018 ).…”