1.) Naz, H., Dumrongpokaphan, T., Sitthiwirattham, T., Alrabaiah, H., Ansari, K.J., A numerical scheme for fractional order mortgage model of economics, Results in Applied Mathematics, 2023, -. 2.) Dumrongpokaphan, T., Patanarapeelert, N., Sitthiwirattham, T., Nonlocal neumann boundary value problem for fractional symmetric hahn integrodifference equations, Symmetry, 2021, -. 3.) Dumrongpokaphan, T., Ntouyas, S.K., Sitthiwirattham, T., Separate fractional (P, q)-integrodifference equations via nonlocal fractional (p, q)-integral boundary conditions, Symmetry, 2021, -. 4.) Dumrongpokaphan, T., Patanarapeelert, N., Sitthiwirattham, T., Existence results of nonlocal Robin mixed Hahn and q-difference boundary value problems, Advances in Difference Equations, 2020, -. 5.) Dumrongpokaphan, T., Patanarapeelert, N., Sitthiwirattham, T., On sequential fractional q-Hahn integrodifference equations, Mathematics, 2020, -. 6.) Dumrongpokaphan, T., Kosheleva, O., Kreinovich, V., Belina, A., Why Sparse?, Studies in Computational Intelligence, 2020, 461-470. 7.) Kosheleva, O., Kreinovich, V., Dumrongpokaphan, T., A Symmetry-Based Explanation of the Main Idea Behind Chubanov’s Linear Programming Algorithm, Studies in Computational Intelligence, 2020, 55-64. 8.) Dumrongpokaphany, T., Koshelevaz, O., Kreinovichz, V., Translating discrete estimates into a less detailed scale: An optimal approach, Thai Journal of Mathematics, 2019, 41-55. 9.) Dumrongpokaphan, T., Kreinovich, V., Sriboonchitta, S., Why threshold models: A theoretical explanation, Studies in Computational Intelligence, 2019, 137-145. 10.) Dumrongpokaphan, T., Gholamy, A., Kreinovich, V., Nguyen, H.P., Why hammerstein-type block models are so efficient: Case study of financial econometrics, Studies in Computational Intelligence, 2019, 129-136. 11.) Dumrongpokaphan, T., Patanarapeelert, N., Sitthiwirattham, T., Existence results of a coupled system of Caputo fractional Hahn difference equations with nonlocal fractional Hahn integral boundary value conditions, Mathematics, 2018, -. 12.) Sriboonchitta, S., Longpré, L., Kreinovich, V., Dumrongpokaphan, T., Why the best predictive models are often different from the best explanatory models: A theoretical explanation, Studies in Computational Intelligence, 2018, 163-171. 13.) Kreinovich, V., Kosheleva, O., Dumrongpokaphan, T., Beyond traditional applications of fuzzy techniques: Main idea and case studies, Studies in Fuzziness and Soft Computing, 2018, 465-481. 14.) Zapata, F., Kosheleva, O., Kreinovich, V., Dumrongpokaphan, T., Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 27-38. 15.) Dumrongpokaphan, T., Kreinovich, V., Markowitz portfolio theory helps decrease medicines’ side effect and speed up machine learning, Studies in Computational Intelligence, 2018, 86-93. 16.) Kreinovich, V., Dumrongpokaphan, T., Nguyen, H.T., Kosheleva, O., How to gauge accuracy of processing big data: Teaching machine learning techniques to gauge their own accuracy, Studies in Computational Intelligence, 2018, 198-204. 17.) Kreinovich, V., Dumrongpokaphan, T., How to estimate statistical characteristics based on a sample: Nonparametric maximum likelihood approach leads to sample mean, sample variance, etc., Studies in Computational Intelligence, 2018, 192-197. 18.) Dumrongpokaphan, T., Kreinovich, V., Kuznets curve: A simple dynamical system-based explanation, Studies in Computational Intelligence, 2018, 177-181. 19.) Kreinovich, V., Dumrongpokaphan, T., Optimal group decision making criterion and how it can help to decrease poverty, inequality, and discrimination, Studies in Fuzziness and Soft Computing, 2018, 3-19. 20.) Dumrongpokaphan, T., Kreinovich, V., Why cannot we have a strongly consistent family of skew normal (And higher order) distributions, Studies in Computational Intelligence, 2017, 69-77.