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Dalkılıç, O. (2021). Determining the (non-)membership degrees in the range (0,1) independently of the decision-makers for bipolar soft sets. Journal of Taibah University for Science, 15(1), 609–618. https://doi.org/10.1080/16583655.2021.1996800
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Dalkılıç, O. (2021). Relations on neutrosophic soft set and their application in decision making. Journal of Applied Mathematics and Computing, 67, 257–273. https://doi.org/10.1007/s12190-020-01495-5
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Dalkılıç, O. (2021). A novel mathematical model: Virtual intuitionistic fuzzy parameterized soft set. El-Cezeri, 8(3), 1565–1575. https://doi.org/10.31202/ecjse.940871
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Demirtaş, N., & Dalkılıç, O. (2021). Kiralama sektörünün gelişimine yönelik tasarlanan bir matematiksel model. El-Cezeri, 8(3), 1229–1242. https://doi.org/10.31202/ecjse.906148
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Dalkılıç, O. (2021). (α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 70(2), 582–599. https://doi.org/10.31801/cfsuasmas.770623
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Dalkılıç, O., & Demirtaş, N. (2021). Bipolar fuzzy soft D-metric spaces. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 70(1), 64–73. https://doi.org/10.31801/cfsuasmas.774658
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Dalkılıç, O., & Demirtaş, N. (2021). VFP-soft sets and its application on decision making problems. Journal of Polytechnic, 24(4), 1391–1399. https://doi.org/10.2339/politeknik.685634
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Demirtaş, N., & Dalkılıç, O. (2021). Neutrosophic Extension of N-soft Set and Similarity-Based Decision-Making. Turkish Journal of Mathematics and Computer Science, 13(2), 294–309. https://doi.org/10.47000/tjmcs.930717
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Demirtaş, N., & Dalkılıç, O. (2021). Bipolar soft ordered topology and a new definition for bipolar soft topology. Journal of Universal Mathematics, 4(2), 259–270. https://doi.org/10.33773/jum.886932
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Demirtaş, N., & Dalkılıç, O. (2021). New types of sets in cech closure spaces. Journal of Universal Mathematics, 4(2), 166–171. https://doi.org/10.33773/jum.964785
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Demirtaş, N., & Dalkılıç, O. (2021). Consistency measurement using the artificial neural network of the results obtained with fuzzy topsis method for the diagnosis of prostate cancer. TWMS Journal of Applied and Engineering Mathematics, 11(1), 237–249.
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Dalkılıç, O. (2022). Two novel approaches that reduce the effectiveness of the decision maker in decision making under uncertainty environments. Iranian Journal of Fuzzy Systems, 19(2), 105–117. https://doi.org/10.22111/IJFS.2022.6793
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Dalkılıç, O. (2022). On topological structures of virtual fuzzy parametrized fuzzy soft sets. Complex and Intelligent Systems, 8, 337–348. https://doi.org/10.1007/s40747-021-00378-x
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Dalkılıç, O., & Demirtaş, N. (2022). Decision analysis review on the concept of class for bipolar soft set theory. Computational and Applied Mathematics, 41(5), 1–20. https://doi.org/10.1007/s40314-022-01922-2
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Demirtaş, N., & Dalkılıç, O. (2022). A mathematical model to the inadequacy of bipolar soft sets in uncertainty environment: N-polar soft set. Computational and Applied Mathematics, 41(1), 1–19. https://doi.org/10.1007/s40314-022-01759-9
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Dalkılıç, O. (2022). Approaches that take into account interactions between parameters: pure (fuzzy) soft sets. International Journal of Computer Mathematics, 99(7), 1428–1437. https://doi.org/10.1080/00207160.2021.1978436
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Dalkılıç, O. (2022). A decision-making approach to reduce the margin of error of decision makers for bipolar soft set theory. International Journal of Systems Science, 53(2), 265–274. https://doi.org/10.1080/00207721.2021.1949644
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Dalkılıç, O. (2022). Determining the membership degrees in the range (0, 1) for hypersoft sets independently of the decision-maker. International Journal of Systems Science, 53(8), 1733–1743. https://doi.org/10.1080/00207721.2021.2023686
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Dalkılıç, O. (2022). A novel approach to soft set theory in decision-making under uncertainty. International Journal of Computer Mathematics, 98(10), 1935–1945. https://doi.org/10.1080/00207160.2020.1868445
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Dalkılıç, O. (2022). Generalization of neutrosophic parametrized soft set theory and its applications. Journal of Polytechnic, 25(2), 675–684. https://doi.org/10.2339/politeknik.783237
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Dalkılıç, O. (2022). An Application of VFPFSS’s in Decision Making Problems. Journal of Polytechnic, 25(2), 491–501. https://doi.org/10.2339/politeknik.758474
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Dalkılıç, O. (2022). A more ideal Approach to Uncertainty Problems: VFPIVFSS. Journal of Polytechnic, 25(4), 1661–1669. https://doi.org/10.2339/politeknik.792176
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Dalkılıç, O., & Demirtaş, N. (2022). Combination of the Bipolar Soft Set and Soft Expert Set with an Application in Decision Making. Gazi University Journal of Science, 35(2), 644–657. https://doi.org/10.35378/gujs.828316
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Demirtaş, N., & Dalkılıç, O. (2022). A mathematical analysis of the relationship between the vaccination rate and COVID-19 pandemic in Turkey. Turkish Journal of Forecasting, 6(1), 1–7. https://doi.org/10.34110/forecasting.1077416
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Dalkılıç, O., & Demirtaş, N. (2023). Algorithms for Covid-19 outbreak using soft set theory: estimation and application. Soft Computing, 27(6), 3203–3211. https://doi.org/10.1007/s00500-022-07519-5
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Dalkılıç, O., & Demirtaş, N. (2023). A novel perspective for Q-neutrosophic soft relations and their application in decision making. Artificial Intelligence Review, 56, 1493–1513. https://doi.org/10.1007/s10462-022-10207-3
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Demirtaş, N., & Dalkılıç, O. (2023). Evaluation of medical diagnosis of prostate cancer based on fuzzy TOPSIS-database interaction. Computational and Applied Mathematics, 42(316), 1–13. https://doi.org/10.1007/s40314-023-02454-z
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Demirtaş, N., & Dalkılıç, O. (2023). Binary Bipolar Soft Sets. Boletim da Sociedade Paranaense de Matemática, 41(3), 1–12. https://doi.org/10.5269/bspm.51003
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Demirtaş, N., & Dalkılıç, O. (2023). Separation axioms on near soft topological spaces. Journal of Universal Mathematics, 6(2), 227–238. https://doi.org/10.33773/jum.1150494
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Dalkılıç, O., & Cangül, İ. N. (2024). Determining interactions between objects from different universes: (inverse) object interaction set for binary soft sets. Soft Computing, 28, 12869–12877. https://doi.org/10.1007/s00500-024-10318-9
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Demirtaş, N., Dalkılıç, O., Riaz, M., & Naser Alqura, A. (2024). Mathematical analysis of parameters belonging to the universe in the soft set theory with new distance measures. Journal of Intelligent and Fuzzy Systems, 46(2), 3975–3985. https://doi.org/10.3233/JIFS-234481
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Demirtaş, N., & Dalkılıç, O. (2024). Bipolar fuzzy soft set theory applied to medical diagnosis. Turkish Journal of Mathematics and Computer Science, 16(2), 314–324. https://doi.org/10.47000/tjmcs.1254943
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Dalkılıç, O. (2025). Decision-making approaches focusing on best parameter-object pair for soft set. Neural Computing and Applications, 37, 14521–14539. https://doi.org/10.1007/s00521-025-11211-8
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Dalkılıç, O., & Demirtaş, N. (2025). Similarity measures of neutrosophic fuzzy soft set and its application to decision making. Journal of Experimental and Theoretical Artificial Intelligence, 37(3), 513–529. https://doi.org/10.1080/0952813X.2023.2222720
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Demirtaş, N., Dalkılıç, O., & Riaz, M. (2025). Novel hybrid soft set theories focusing on decision-makers by considering the factors affecting the parameters. Journal of Experimental and Theoretical Artificial Intelligence, 37(5), 769–781. https://doi.org/10.1080/0952813X.2023.2259913
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Stojanović, N., Vučićević, N., & Dalkılıç, O. (2025). Decision-making algorithm based on the scored-energy of neutrosophic soft sets. Afrika Matematika, 36(3), 1–22. https://doi.org/10.1007/s13370-025-01366-x
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Demirtaş, N., Dalkılıç, O., & Şimşekler Dizman, T. (2025). Optimal Parameter Identification in Soft Set Frameworks: A Decision Support Model. Boletim da Sociedade Paranaense de Matemática, 43(3), 1–10. https://doi.org/10.5269/bspm.75996
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Dalkılıç, O. (2025). A Generalization of Neutrosophic Parametrized Hypersoft Sets For Decision Makers. Afyon Kocatepe University Journal of Science and Engineering, 25(1), 81–88. https://doi.org/10.35414/akufemubid.1364511
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Dalkılıç, O. (2025). Innovative decision-making with VFP-soft sets: A comparative analysis. Turkish Journal of Science and Technology, 20(1), 109–119. https://doi.org/10.55525/tjst.1375167