Keywords: max-min algebra; interval system; T4-vector; T4 solvability; T5-vector; T5 solvability
@article{KYB_2012_48_5_a3,
author = {My\v{s}kov\'a, Helena},
title = {An iterative algorithm for testing solvability of max-min interval systems},
journal = {Kybernetika},
pages = {879--889},
year = {2012},
volume = {48},
number = {5},
mrnumber = {3086857},
language = {en},
url = {http://geodesic.mathdoc.fr/item/KYB_2012_48_5_a3/}
}
Myšková, Helena. An iterative algorithm for testing solvability of max-min interval systems. Kybernetika, Tome 48 (2012) no. 5, pp. 879-889. http://geodesic.mathdoc.fr/item/KYB_2012_48_5_a3/
[1] Asse, A., Mangin, P., Witlaeys, D.: Assisted diagnosis using fuzzy information. In: NAFIPS 2 Congress, Schenectudy, NY 1983.
[2] Cechlárová, K.: Solutions of interval systems in max-plus algebra. In: Proc. SOR 2001 (V. Rupnik, L. Zadnik-Stirn, S. Drobne, eds.), Preddvor, Slovenia, pp. 321-326. | MR
[3] Cechlárová, K., Cuninghame-Green, R. A.: Interval systems of max-separable linear equations. Linear Algebra Appl. 340 (2002), 1-3, 215-224. | DOI | MR | Zbl
[4] Cuninghame-Green, R. A.: Minimax Algebra. Lecture Notes in Econom. and Math. Systems 1966, Springer, Berlin 1979. | MR | Zbl
[5] Gavalec, M., Plavka, J.: Monotone interval eigenproblem in max-min algebra. Kybernetika 46 (2010), 3, 387-396. | MR | Zbl
[6] Kreinovich, J., Lakeyev, A., Rohn, J., Kahl, P.: Computational Complexity of Feasibility of Data Processing and Interval Computations. Kluwer, Dordrecht 1998.
[7] Myšková, H.: Interval systems of max-separable linear equations. Linear Algebra Appl. 403 (2005), 263-272. | MR | Zbl
[8] Myšková, H.: Control solvability of interval systems of max-separable linear equations. Linear Algebra Appl. 416 (2006), 215-223. | MR | Zbl
[9] Myšková, H.: Solvability of interval systems in fuzzy algebra. In: Proc. 15th International Scientific Conference on Mathematical Methods in Economics and Industry, Herĺany 2007, pp. 153-157.
[10] Nola, A. Di, Salvatore, S., Pedrycz, W., Sanchez, E.: Fuzzy Relation Equations and Their Applications to Knowledge Engineering. Kluwer Academic Publishers, Dordrecht 1989. | MR
[11] Plavka, J.: On the $O(n^3)$ algorithm for checking the strong robustness of interval fuzzy matrices. Discrete Appl. Math. 160 (2012), 640-647. | DOI | MR
[12] Rohn, J.: Systems of Interval Linear Equations and Inequalities (Rectangular Case). Technical Peport No. 875, Institute of Computer Science, Academy of Sciences of the Czech Republic 2002.
[13] Rohn, J.: Complexity of some linear problems with interval data. Reliable Comput. 3 (1997), 315-323. | DOI | MR | Zbl
[14] Sanchez, E.: Medical diagnosis and composite relations. In: Advances in Fuzzy Set Theory and Applications (M. M. Gupta, R. K. Ragade, and R. R. Yager, eds.), North-Holland, Amsterdam - New York 1979, pp. 437-444. | MR
[15] Terano, T., Tsukamoto, Y.: Failure diagnosis by using fuzzy logic. In: Proc. IEEE Conference on Decision Control, New Orleans, LA 1977, pp. 1390-1395.
[16] Zadeh, L. A.: Toward a theory of fuzzy systems. In: Aspects of Network and Systems Theory (R. E. Kalman and N. De Claris, eds.), Hold, Rinehart and Winston, New York 1971, pp. 209-245.
[17] Zimmermann, K.: Extremální algebra. Ekonomicko-matematická laboratoř Ekonomického ústavu ČSAV, Praha 1976.