Algebraic solution to box-constrained bi-criteria problem of rating alternatives through pairwise comparisons

Nikolai Krivulin

Kybernetika (2022)

  • Volume: 58, Issue: 5, page 665-690
  • ISSN: 0023-5954

Abstract

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We consider a decision-making problem to evaluate absolute ratings of alternatives that are compared in pairs according to two criteria, subject to box constraints on the ratings. The problem is formulated as the log-Chebyshev approximation of two pairwise comparison matrices by a common consistent matrix (a symmetrically reciprocal matrix of unit rank), to minimize the approximation errors for both matrices simultaneously. We rearrange the approximation problem as a constrained bi-objective optimization problem of finding a vector that determines the approximating consistent matrix, and then represent the problem in terms of tropical algebra. We apply methods and results of tropical optimization to derive an analytical solution of the constrained problem. The solution consists in introducing two new variables that describe the values of the objective functions and allow reducing the problem to the solution of a system of parameterized inequalities constructed for the unknown vector, where the new variables play the role of parameters. We exploit the existence condition for solutions of the system to derive those values of the parameters that belong to the Pareto front inherent to the problem. Then, we solve the system for the unknown vector and take all solutions that correspond to the Pareto front, as a complete solution of the bi-objective problem. We apply the result obtained to the bi-criteria decision problem under consideration and present illustrative examples.

How to cite

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Krivulin, Nikolai. "Algebraic solution to box-constrained bi-criteria problem of rating alternatives through pairwise comparisons." Kybernetika 58.5 (2022): 665-690. <http://eudml.org/doc/299346>.

@article{Krivulin2022,
abstract = {We consider a decision-making problem to evaluate absolute ratings of alternatives that are compared in pairs according to two criteria, subject to box constraints on the ratings. The problem is formulated as the log-Chebyshev approximation of two pairwise comparison matrices by a common consistent matrix (a symmetrically reciprocal matrix of unit rank), to minimize the approximation errors for both matrices simultaneously. We rearrange the approximation problem as a constrained bi-objective optimization problem of finding a vector that determines the approximating consistent matrix, and then represent the problem in terms of tropical algebra. We apply methods and results of tropical optimization to derive an analytical solution of the constrained problem. The solution consists in introducing two new variables that describe the values of the objective functions and allow reducing the problem to the solution of a system of parameterized inequalities constructed for the unknown vector, where the new variables play the role of parameters. We exploit the existence condition for solutions of the system to derive those values of the parameters that belong to the Pareto front inherent to the problem. Then, we solve the system for the unknown vector and take all solutions that correspond to the Pareto front, as a complete solution of the bi-objective problem. We apply the result obtained to the bi-criteria decision problem under consideration and present illustrative examples.},
author = {Krivulin, Nikolai},
journal = {Kybernetika},
keywords = {idempotent semifield; tropical optimization; constrained bi-criteria decision problem; Pareto-optimal solution; box constraints; pairwise comparisons},
language = {eng},
number = {5},
pages = {665-690},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Algebraic solution to box-constrained bi-criteria problem of rating alternatives through pairwise comparisons},
url = {http://eudml.org/doc/299346},
volume = {58},
year = {2022},
}

TY - JOUR
AU - Krivulin, Nikolai
TI - Algebraic solution to box-constrained bi-criteria problem of rating alternatives through pairwise comparisons
JO - Kybernetika
PY - 2022
PB - Institute of Information Theory and Automation AS CR
VL - 58
IS - 5
SP - 665
EP - 690
AB - We consider a decision-making problem to evaluate absolute ratings of alternatives that are compared in pairs according to two criteria, subject to box constraints on the ratings. The problem is formulated as the log-Chebyshev approximation of two pairwise comparison matrices by a common consistent matrix (a symmetrically reciprocal matrix of unit rank), to minimize the approximation errors for both matrices simultaneously. We rearrange the approximation problem as a constrained bi-objective optimization problem of finding a vector that determines the approximating consistent matrix, and then represent the problem in terms of tropical algebra. We apply methods and results of tropical optimization to derive an analytical solution of the constrained problem. The solution consists in introducing two new variables that describe the values of the objective functions and allow reducing the problem to the solution of a system of parameterized inequalities constructed for the unknown vector, where the new variables play the role of parameters. We exploit the existence condition for solutions of the system to derive those values of the parameters that belong to the Pareto front inherent to the problem. Then, we solve the system for the unknown vector and take all solutions that correspond to the Pareto front, as a complete solution of the bi-objective problem. We apply the result obtained to the bi-criteria decision problem under consideration and present illustrative examples.
LA - eng
KW - idempotent semifield; tropical optimization; constrained bi-criteria decision problem; Pareto-optimal solution; box constraints; pairwise comparisons
UR - http://eudml.org/doc/299346
ER -

References

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  1. Barzilai, J., , J. Oper. Res. Soc. 48 (1997), 12, 1226-1232. DOI
  2. Belton, V., Gear, T., , Omega 11 (1983), 3, 228-230. DOI
  3. Benson, H. P., , In: Encyclopedia of Optimization. Second edition. (C. A. Floudas and P. M. Pardalos, eds), Springer, Boston 2009, pp. 2478-2481. DOI
  4. Choo, E. U., Wedley, W. C., , Comput. Oper. Res. 31 (2004), 6, 893-908. DOI
  5. Crawford, G., Williams, C., , J. Math. Psych. 29 (1985), 4, 387-405. DOI
  6. Ehrgott, M., , Springer, Berlin 2005. DOI
  7. Elsner, L., Driessche, P. van den, , Linear Algebra Appl. 385 (2004), 1, 47-62. DOI
  8. Elsner, L., Driessche, P. van den, , Linear Algebra Appl. 432 (2010), 4, 927-935. DOI
  9. Gavalec, M., Ramík, J., Zimmermann, K., , Lecture Notes in Economics and Mathematical Systems 677, Springer, Cham 2015. DOI
  10. Golan, J. S., , 556, Springer, Dordrecht 2003. DOI
  11. Gondran, M., Minoux, M., , Operations Research/ Computer Science Interfaces 41, Springer, Boston 2008. DOI
  12. Goto, H., Wang, S., , Oper. Res. Int. J. 22 (2022), 1, 401-422. DOI
  13. Gursoy, B. B., Mason, O., Sergeev, S., , Linear Algebra Appl. 438 (2013), 7, 2911-2928. DOI
  14. Heidergott, B., Olsder, G. J., Woude, J. van der, Max Plus at Work., Princeton Series in Applied Mathematics. Princeton University Press, Princeton 2006. 
  15. Kolokoltsov, V. N., Maslov, V. P., , Mathematics and Its Applications 401, Springer, Dordrecht 1997. Zbl0941.93001DOI
  16. Krivulin, N., , In: Tropical and Idempotent Mathematics and Applications (G. L. Litvinov and S. N. Sergeev, eds.), Contemporary Mathematics 616, AMS, Providence 2014, pp. 163-177. DOI
  17. Krivulin, N., , Linear Algebra Appl. 468 (2015), 211-232. DOI
  18. Krivulin, N., , Optimization 64 (2015), 5, 1107-1129. DOI
  19. Krivulin, N., , In: 12th Intern. Conf. on Fuzzy Systems and Knowledge Discovery (FSKD) (Z. Tang, J. Du, S. Yin, L. He, and R. Li, eds.), IEEE, 2015, pp. 162-167. DOI
  20. Krivulin, N., , In: Proc. 7th SIAM Workshop on Combinatorial Scientific Computing (A. H. Gebremedhin, E. G. Boman, and B. Ucar, eds.), SIAM, Philadelphia 2016, pp. 62-72. DOI
  21. Krivulin, N., , Comput. Manag. Sci. 14 (2017), 1, 91-113. DOI
  22. Krivulin, N., , Comput. Manag. Sci. 17 (2020), 1, 79-104. DOI
  23. Krivulin, N., , Mathematics 9 (2021), 4, 303. DOI
  24. Krivulin, N., Sergeev, S., , Fuzzy Sets Systems 377 (2019), 31-51. DOI
  25. Luc, D. T., , In: Pareto Optimality, Game Theory and Equilibria (A. Chinchuluun, P. M. Pardalos, A. Migdalas, and L. Pitsoulis, eds.), Springer, New York 2008, pp. 481-515. DOI
  26. Maclagan, D., Sturmfels, B., , Graduate Studies in Mathematics 161, AMS, Providence 2015. DOI
  27. Pappalardo, M., , In: Pareto Optimality, Game Theory and Equilibria (A. Chinchuluun, P. M. Pardalos, A. Migdalas, and L. Pitsoulis, eds.), Springer, New York 2008, pp. 517-528. DOI
  28. Portugal, R. D., Svaiter, B. F., , Minds Mach. 21 (2011), 1, 73-81. DOI
  29. Ramesh, R., Zionts, S., , In: Encyclopedia of Operations Research and Management Science (S. I. Gass and M. C. Fu, eds.), Springer, Boston 2013, pp. 1007-1013. DOI
  30. Ramík, J., , Lecture Notes in Economics and Mathematical Systems 690, Springer, Cham 2020. DOI
  31. Saaty, T. L., , J. Math. Psych. 15 (1977), 3, 234-281. DOI
  32. Saaty, T. L., The Analytic Hierarchy Process. Second edition., RWS Publications, Pittsburgh 1990. 
  33. Saaty, T. L., , Notices Amer. Math. Soc. 60 (2013), 2, 192-208. DOI
  34. Saaty, T. L., Vargas, L. G., , Math. Modelling 5 (1984), 5, 309-324. DOI

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