{"title":"Uncertainty Multiple Criteria Decision Making Analysis for Stealth Combat Aircraft Selection","authors":"C. Ardil","volume":208,"journal":"International Journal of Aerospace and Mechanical Engineering","pagesStart":116,"pagesEnd":125,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10013592","abstract":"<p>Fuzzy set theory and its extensions (intuitionistic fuzzy sets, picture fuzzy sets, and neutrosophic sets) have been widely used to address imprecision and uncertainty in complex decision-making. However, they may struggle with inherent indeterminacy and inconsistency in real-world situations. This study introduces uncertainty sets as a promising alternative, offering a structured framework for incorporating both types of uncertainty into decision-making processes.This work explores the theoretical foundations and applications of uncertainty sets. A novel decision-making algorithm based on uncertainty set-based proximity measures is developed and demonstrated through a practical application: selecting the most suitable stealth combat aircraft.\r\n<\/p><p>The results highlight the effectiveness of uncertainty sets in ranking alternatives under uncertainty. Uncertainty sets offer several advantages, including structured uncertainty representation, robust ranking mechanisms, and enhanced decision-making capabilities due to their ability to account for ambiguity.Future research directions are also outlined, including&nbsp;<span style=\"background-color: initial;\">comparative analysis with existing MCDM methods under uncertainty, sensitivity analysis to assess the robustness of rankings,<\/span><span style=\"background-color: initial;\">and broader application to various MCDM problems with diverse complexities. By exploring these avenues, uncertainty sets can be&nbsp;<\/span><span style=\"background-color: initial;\">further established as a valuable tool for navigating uncertainty in complex decision-making scenarios.<\/span><\/p>","references":"[1]\tZadeh L.A., (1965). Fuzzy Sets. Information and Control, 8, 338-353.\r\n[2]\tAtanasov, K.T. (1986). Intuitionistic fuzzy sets. Fuzzy sets and systems, 20, 87-96.\r\n[3]\tCuong, B.C. (2014). Picture fuzzy sets. Journal of Computer Science and Cybernetics, V.30, N.4 (2014), 409\u2013420.\r\n[4]\tSmarandache, 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.\r\n[5]\tYager, R. R. (2013). 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Regional Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Transport and Vehicle Engineering ,14 (9), 378-388.\r\n[42]\tArdil, C. (2020). A Comparative Analysis of Multiple Criteria Decision Making Analysis Methods for Strategic, Tactical, and Operational Decisions in Military Fighter Aircraft Selection. International Journal of Aerospace and Mechanical Engineering ,14 (7), 275-288. \r\n[43]\tArdil, C. (2020). Trainer Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Aerospace and Mechanical Engineering, 14 (5), 195-208.\r\n[44]\tArdil, C. (2020). Aircraft Selection Process Using Preference Analysis for Reference Ideal Solution (PARIS). International Journal of Aerospace and Mechanical Engineering ,14 (3), 80-92.\r\n[45]\tArdil, C. (2020). Facility Location Selection using Preference Programming. International Journal of Industrial and Systems Engineering, 14 (1), 1-12.\r\n[46]\tArdil, C. (2019). Aircraft Selection Using Multiple Criteria Decision Making Analysis Method with Different Data Normalization Techniques. International Journal of Industrial and Systems Engineering ,13 (12), 744-756.\r\n[47]\tArdil, C, Pashaev, AM., Sadiqov, RA., Abdullayev, P. (2019). Multiple Criteria Decision Making Analysis for Selecting and Evaluating Fighter Aircraft. International Journal of Transport and Vehicle Engineering ,13 (11), 683-694.\r\n[48]\tArdil, C. (2019). Fighter Aircraft Selection Using Technique for Order Preference by Similarity to Ideal Solution with Multiple Criteria Decision Making Analysis. International Journal of Transport and Vehicle Engineering ,13 (10), 649-657.\r\n[49]\tArdil, C. (2019). Scholar Index for Research Performance Evaluation Using Multiple Criteria Decision Making Analysis. 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