[Bader, F. and Nipkow, T. (1998). Term Rewriting and All That, Cambridge University Press, Cambridge.10.1017/CBO9781139172752]Search in Google Scholar
[Birkhoff, G. (1967). Lattice Theory, Vol. XXV, Colloquium Publications, American Mathematical Society, Providence, RI.]Search in Google Scholar
[Chalco-Cano, Y., Lodwick, W. and Bede, B. (2014). Single level constraint interval arithmetic, Fuzzy Sets and Systems257: 146–168.10.1016/j.fss.2014.06.017]Search in Google Scholar
[Dabala, K. (2009). Research of possibilities of interval arithmetic application to induction motors efficiency determination, Zeszyty Problemowe: Maszyny Elektryczne (84): 39–44.]Search in Google Scholar
[Dymova, L. (2011). Soft Computing in Economics and Finance, Springer, Berlin/Heidelberg.10.1007/978-3-642-17719-4]Open DOISearch in Google Scholar
[Figuiredo, L. and Stolfi, J. (2004). Affine arithmetic: Concepts and applications, Numerical Algorithms37(1): 147–158.10.1023/B:NUMA.0000049462.70970.b6]Open DOISearch in Google Scholar
[Hanss, M. (2005). Applied Fuzzy Arithmetic, Springer, Berlin/Heidelberg.]Search in Google Scholar
[Hayes, B. (2003). A lucid interval, American Scientist91(6): 484–488.10.1511/2003.6.484]Open DOISearch in Google Scholar
[Kaucher, E. (1980). Interval analysis in the extended interval space IR, Computing Supplement2: 33–49.10.1007/978-3-7091-8577-3_3]Search in Google Scholar
[Kovalerchuk, B. and Kreinovich, V. (2016). Comparisons of applied tasks with intervals, fuzzy sets and probability approaches, Proceedings of the 2016 IEEE International Conference on Fuzzy Systems (FUZZ), Vancouver, Canada, pp. 1478–1483.]Search in Google Scholar
[Leontief, W. (1949). The Structure of the American Economy, 1919–1935, Oxford University Press, London.]Search in Google Scholar
[Leontief, W. (1966). Input-Output Economics, Oxford University Press, New York, NY.]Search in Google Scholar
[Lodwick, W. (1999). Constrained interval arithmetic, Technical Report CCM, University of Colorado at Denver, Denver, CO.]Search in Google Scholar
[Lodwick, W. and Dubois, D. (2015). Interval linear systems as a necessary step in fuzzy linear systems, Fuzzy Sets and Systems281: 227–251.10.1016/j.fss.2015.03.018]Search in Google Scholar
[Lyashko, M. (2005). The optimal solution of an interval systems of linear algebraic equations, Reliable Computing11(2): 227–251.10.1007/s11155-005-3032-6]Open DOISearch in Google Scholar
[Mazarhuiya, F., Mahanta, A. and Baruah, H. (2011). Solution of fuzzy equation a+x = b using method of superimposition, Applied Mathematics2(8): 1039–1045.10.4236/am.2011.28144]Open DOISearch in Google Scholar
[Moore, R. (1996). Interval Analysis, Prentice Hall, Englewood Cliffs, NJ.]Search in Google Scholar
[Moore, R., Baker, K. and Cloud, M. (2009). Introduction to Interval Analysis, SIAM, Philadelphia, PA.10.1137/1.9780898717716]Search in Google Scholar
[Moore, R. and Young, C. (1959). Interval analysis I, Technical Report LMSD285875, Lockheed Missiles and Space Division, Sunnyvale, CA.]Search in Google Scholar
[Neumaier, A. (1990). Interval Methods for Systems of Equations, Cambridge University Press, Cambridge.10.1017/CBO9780511526473]Search in Google Scholar
[Pedrycz, W., Skowron, A. and Kreinovich, V. (2008). Handbook of Granular Computing, John Wiley&Sons, Chichester.10.1002/9780470724163]Search in Google Scholar
[Piegat, A. and Landowski, M. (2012). Is the conventional interval arithmetic correct?, Journal of Theoretical and Applied Computer Science6(2): 27–44.]Search in Google Scholar
[Piegat, A. and Landowski, M. (2013). Two interpretations of multidimensional RDM interval arithmetic—multiplication and division, International Journal of Fuzzy Systems15(4): 488–496.]Search in Google Scholar
[Piegat, A. and Pluciński, M. (2015). Computing with words with the use of inverse RDM models of membership functions, International Journal of Applied Mathematics and Computer Science25(3): 675–688, DOI: 10.1515/amcs-2015-0049.10.1515/amcs-2015-0049]Open DOISearch in Google Scholar
[Piegat, A. and Plucinski, M. (2017). Fuzzy number division and the multi-granularity phenomenon, Bulletin of the Polish Academy of Sciences: Technical Sciences65(4): 497–511.10.1515/bpasts-2017-0055]Search in Google Scholar
[Piegat, A. and Tomaszewska, K. (2013). Decision making under uncertainty using info-gap theory and a new multidimensional RDM interval arithmetic, Przegląd Elektrotechniczny89(8): 71–76.]Search in Google Scholar
[Pilarek, M. (2010). Solving systems of linear equations using the interval extended zero method and multimedia extensions, Scientific Research of the Institute of Mathematics and Computer Science9(2): 203–212.]Search in Google Scholar
[Popova, E. (1998). Algebraic solutions to a class of interval equations, Journal of Universal Computer Science4(1): 48–67.]Search in Google Scholar
[Sevastjanov, P. and Dymova, L. (2009). A new method for solving internal and fuzzy equations: Linear case, Information Sciences179: 925–937.10.1016/j.ins.2008.11.031]Search in Google Scholar
[Shary, S. (1996). Algebraic approach to the interval linear static identification, tolerance and control problems, or one more application of Kaucher arithmetic, Reliable Computing2(1): 3–33.10.1007/BF02388185]Open DOISearch in Google Scholar
[Shary, S. (2002). A new technique in systems analysis under interval uncertainty and ambiguity, Reliable Computing8: 321–418.10.1023/A:1020505620702]Search in Google Scholar
[Sunaga, T. (1958). Theory of an interval algebra and its application to numerical analysis, RAAG Memoirs2: 547–564.]Search in Google Scholar
[Warmus, M. (1956). Calculus of approximations, Bulletin de l’Académie Polonaise des Sciences Cl. III4(5): 253–259.]Search in Google Scholar