Neutrosophic Multiple Criteria Decision Making Analysis Method for Selecting Stealth Fighter Aircraft
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Neutrosophic Multiple Criteria Decision Making Analysis Method for Selecting Stealth Fighter Aircraft

Authors: C. Ardil


In this paper, a neutrosophic multiple criteria decision analysis method is proposed to select stealth fighter aircraft. Neutrosophic multiple criteria decision analysis methods are used to analyze the neutrosophic environment and give results under uncertainty and incompleteness. Neutrosophic numbers are used to evaluate alternatives over a set of evaluation criteria in decision making problems. Finally, the proposed model is applied to a practical decision problem for selecting stealth fighter aircraft.

Keywords: neutrosophic sets, multiple criteria decision making analysis, stealth fighter aircraft, aircraft selection, MCDMA, SVNNs

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[1] Zadeh L.A., (1965). Fuzzy Sets. Information and Control, 8, 338-353.
[2] Bellman, R.E., Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4), 141–164.
[3] Atanasov, K.T. (1986). Intuitionistic fuzzy sets. Fuzzy sets and systems, 20, 87-96.
[4] Smarandache, F. (1999). A Unifying Field in Logics, Neutrosophic Logic, Neutrosophy, Neutrosophic Set and Neutrosophic Probabilty. 4th (eds) American Research Press, Rehoboth, DE, USA.
[5] Smarandache, F. (2019). Neutrosophic Set is a Generalization of Intuitionistic Fuzzy Set, Inconsistent Intuitionistic Fuzzy Set (Picture Fuzzy Set, Ternary Fuzzy Set), Pythagorean Fuzzy Set, Spherical Fuzzy Set, and q-Rung Orthopair Fuzzy Set, while Neutrosophication is a Generalization of Regret Theory, Grey System Theory, and Three-Ways Decision (revisited) . Journal of New Theory, (29), 1-31.
[6] Broumi, S.; Smarandache, F. (2013)I Correlation coefficient of interval neutrosophic set. Appl. Mech. Mater., 436, 511–517.
[7] Ye, J. (2014). Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. J. Intell. Fuzzy Syst. 26, 165–172.
[8] Broumi, S., Smarandache, F., Talea, M., Bakali, A. (2016). An introduction to bipolar single valued neutrosophic graph theory. Appl. Mech. Mater., 841, 184–191.
[9] Wang, L., Zhang, H.Y., Wang, J.Q. (2018). Frank Choquet Bonferroni mean operators of bipolar neutrosophic sets and their application to multi-criteria decision-making problems. Int. J. Fuzzy Syst. 20, 13–28.
[10] Ye, J. (2013). Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment. Int. J. Gen. Syst. 42, 386–394.
[11] Chakraborty, A., Mondal, S.P., Ahmadian, A., Senu, N., Alam, S., Salahshour, S. (2018). Different Forms of Triangular Neutrosophic Numbers, De-Neutrosophication Techniques, and their Applications. Symmetry 10, 327.
[12] Garg, H. (2018). New Logarithmic operational laws and their applications to multiattribute decision making for single-valued neutrosophic numbers. Cogn. Syst. Res. 52, 931–946.
[13] Wang, H., Smarandache, F., Zhang, Y., Sunderraman, R.(2010). Single valued neutrosophic sets. Multispace and Multistructure, 4, 410-413.
[14] Garg, H., Nancy (2020). Linguistic single-valued neutrosophic power aggregation operators and their applications to group decision-making problems. IEEE/CAA Journal of Automatica Sinica, 7, 546-558.
[15] Smarandache, F. (2019). About Nonstandard Neutrosophic Logic: Answers to Imamura’s “Note on the Definition of Neutrosophic Logic”; Infinite Study: Coimbatore, India.
[16] Garg, H. (2019). Algorithms for possibility linguistic single-valued neutrosophic decision-making based on COPRAS and aggregation operators with new information measures. Measurement 138, 278–290.
[17] Kumar, R., Edalatpanah, S.A., Jha, S., Broumi, S., Dey, A. (2018). Neutrosophic shortest path problem. Neutrosophic Sets Syst. 23, 5–15.
[18] Edalatpanah, S.A. (2019). Nonlinear approach for neutrosophic linear programming. J. Appl. Res. Ind. Eng. 6, 367–373.
[19] Robinson, A.(2016). Non-Standard Analysis; Princeton University Press: Princeton, NJ, USA.