[1] S. K. Alamanda, K. K. Boddeti, Relative distance measure arithmetic-based available transfer capability calculation with uncertainty in wind power generation, International Transactions on Electrical Energy Systems, 31(11) (2021), e-13112.
[2] R. A. Aliev, Uncertain computation-based decision theory, World Scientific, New Jersey, London, Beijing, 2018.
[3] R. Boukezzoula, L. Foulloy, D. Coquin, S. Galichet, Gradual interval arithmetic and fuzzy interval arithmetic, Granular Computing, 6 (2021), 451-471.
[4] Y. Chalco-Cano, W. A. Lodwick, B. Bede, Single level constraint interval arithmetic, Fuzzy Sets and Systems, 257 (2014), 146-168.
[5] L. Dymova, Soft computing in economics and finance, Springier, Heidelberg, New York, London, 2011.
[6] A. Ebrahimnejad, An effective computational attempt for solving fully fuzzy linear programming using MOLP problem, Journal of Industrial and Production Engineering, 39(2) (2019), 59-69.
[7] A. Ebrahimnejad, An acceptability index based approach for solving shortest path problem on a network with interval weights, Rairo Operation Research, 55 (2021), S1767-S1787.
[8] A. Ebrahimnejad, J. L. Verdegay An efficient computational approach for solving type-2 intuitionistic fuzzy numbers based transportation problems, International Journal of Computational Intelligence Systems, 9(6) (2016), 1154-1173.
[9] M. Friedman, M. Ming, A. Kandel, Fuzzy linear systems, Fuzzy Sets and Systems, 96 (1998), 201-209.
[10] G. J. Klir, B. Yuan, Fuzzy sets and fuzzy logic: Theory and applications, Prentice Hall, Upper Saddle River, NJ, 1995.
[11] J. Kolodziejczyk, A. Piegat, W. Salabun, Which alternative for solving dual fuzzy nonlinear equations is more precise?, Mathematics, 8 (2020) 1-13.
[12] M. Landowski, RDM interval method for solving quadratic interval equation, Przeglad Elektrotechniczny (Electrotechnical Review), R.93(1) (2017), 65-68.
[13] M. Landowski, Usage of RDM interval arithmetic for solving cubic interval equation, In: Kacprzyk J., et al. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT 2017, IWIFSGN 2017. Advances in Intelligent Systems and Computing, Springer, Cham, 642 (2018), 382-391.
[14] M. Landowski, Method with horizontal fuzzy numbers for solving real fuzzy linear systems, Soft Computing, 23 (2019), 3921-3933.
[15] W. A. Lodwick, Constrained interval arithmetic, CCM Report 138, February 1999.
[16] W. A. Lodwick, D. Dubois, Interval linear systems as a necessary step in fuzzy linear systems, Fuzzy Sets and Systems, 281 (2015), 227-251.
[17] W. A. Lodwick, O. A. Jenkins, Constrained intervals and interval spaces, Soft Computing, 17(8) (2013), 1393-1402.
[18] W. A. Lodwick, E. A. Untiedt, A comparison of interval analysis using constraint interval arithmetic and fuzzy interval analysis using gradual numbers, Proceedings of the NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, New York City, NY, (2008), 1-6.
[19] M. Mazandarani, N. Pariz, Sub-optimal control of fuzzy linear dynamical systems under granular differentiability concept, ISA Transactions, 76 (2018), 1-17.
[20] M. Mazandarani, N. Pariz, A. V. Kamyad, Granular differentiability of fuzzy-number-valued functions, IEEE Transactions on Fuzzy Systems, 26(1) (2018), 310-323.
[21] M. Mazandarani, Y. Zhao, Fuzzy bang-bang control problem under granular differentiability, Journal of the Franklin Institute, 355(12) (2018), 4931-4951.
[22] M. Mazandarani, Y. Zhao, Z-differential equations, IEEE Transactions on Fuzzy Systems, 28(3) (2020), 462-473.
[23] M. T. Mizukoshi, W. A. Lodwick, Interval arithmetic: WSM, CI or RDM?, In: Rayz J., et al. (eds) Explainable AI and Other Applications of Fuzzy Techniques. NAFIPS 2021. Lecture Notes in Networks and Systems, Springer, Cham, 258 (2022), 291-301.
[24] R. E. Moore, Interval analysis, Prentice-Hall, Englewood Cliffs, N.J., 1966.
[25] M. Najariyan, Y. Zhao, Fuzzy fractional quadratic regulator problem under granular fuzzy fractional derivatives, IEEE Transactions on Fuzzy Systems, 26(4) (2018), 2273-2288.
[26] M. Najariyan, Y. Zhao, On the stability of fuzzy linear dynamical systems, Journal of the Franklin Institute, 357(9) (2020), 5502-5522.
[27] M. Najariyan, Y. Zhao, The explicit solution of fuzzy singular differential equations using fuzzy Drazin inverse matrix, Soft Computing, 24(15) (2020), 11251-11264.
[28] A. Piegat, M. Landowski, Two interpretations of multidimensional RDM interval arithmetic - multiplication and division, International Journal of Fuzzy Systems, 15(4) (2013), 488-496.
[29] A. Piegat, M. Landowski, Horizontal membership functions and examples of its applications, International Journal of Fuzzy Systems, 17(1) (2015), 22-30.
[30] A. Piegat, M. Landowski, Multidimensional interval type 2 epistemic fuzzy arithmetic, Iranian Journal of Fuzzy Systems, 18(5) (2021), 19-36.
[31] A. Piegat, M. Landowski, Multidimensional type 2 epistemic fuzzy arithmetic based on the body definition of the type 2 fuzzy set, Applied Sciences, 11 (2021), 1-27.
[32] A. Piegat, M. Olchowy, Contextual one sector non-regular fuzzy model based on 4 knowledge points, Pomiary, Automatyka, Kontrola, 56(10) (2010), 1193-1196.
[33] A. Piegat, M. Plucinski, Fuzzy number addition with application of horizontal membership functions, The Scientific World Journal, ID 367 (2015), 1-16.
[34] A. Piegat, M. Plucinski, Computing with words with the use of inverse RDM models of membership functions, International Journal of Applied Mathematics and Computer Science, 25(3) (2015), 675-688.
[35] A. Piegat, M. Plucinski, Fuzzy number division and the multi-granularity phenomenon, Bulletin of the Polish Academy of Sciences: Technical Science, 65(4) (2017), 497-511.
[36] A. Piegat, M. Plucinski, Inclusion principle of fuzzy arithmetic results, Journal of Intelligent and Fuzzy Systems, 42(6) (2022), 4987-4998.
[37] A. Piegat, M. Plucinski, The optimal tolerance solution of the basic interval linear equation and the explanation of the Lodwick’s anomaly, Applied Sciences, 12(9) (2022), 1-21.
[38] A. Piegat, K. Tomaszewska, Decision-making under uncertainty using Info-Gap theory and a new multi-dimensional RDM interval arithmetic, Przeglad Elektrotechniczny (Electrotechnical Review), R.89(8) (2013), 71-76.
[39] M. Plucinski, Solving Zadeh’s challenge problems with the application of RDM-arithmetic, In: Rutkowski L., et al. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. LNCS, 9119. Springer, Cham, (2015), 239-248.
[40] G. Schmidt, Relational mathematics, Encyclopedia of Mathematics and Its Applications, Cambridge University Press, 132 (2011), 169-227.
[41] A. Sotoudeh-Anvari, A critical review on theoretical drawbacks and mathematical incorrect assumptions in fuzzy OR methods: Review from 2010 to 2020, Applied Soft Computing, 93 (2020), 106354.
[42] T. Sunaga, Theory of an interval algebra and its applications to numerical analysis, RAAAG Memoirs, 2 (1958), 547-564.
[43] K. Tomaszewska, A. Piegat, Application of the horizontal membership function to the uncertain displacement calculation of a composite massless rod under a tensile load, In Wilinski A., et al. (eds), Soft Computing in Computer and Information Sciences, Springer, Cham, 342 (2015), 63-72.
[44] M. Warmus, Calculus of approximations, Bulletin de L’Academie Polonaise de Sciences CI.III, 4 (1956), 253-259.
[45] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning-I, Information Sciences, 8(3) (1975), 199-249.
[46] H. J. Zimmermann, Fuzzy set theory - and its applications, Springer, Dordrecht, 1985.