Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
Tropical optimization techniques in multi-criteria decision making with Analytical Hierarchy Process. / Кривулин, Николай Кимович; Sergeev, Sergei.
2017 European Modelling Symposium (EMS): Proc. UKSim-AMSS 11th European Modelling Symposium on Computer Modelling and Simulation, 20–22 November 2017, Manchester, UK. Institute of Electrical and Electronics Engineers Inc., 2017. p. 38-43 13 (European Modelling Symposium (EMS)).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
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TY - CHAP
T1 - Tropical optimization techniques in multi-criteria decision making with Analytical Hierarchy Process
AU - Кривулин, Николай Кимович
AU - Sergeev, Sergei
N1 - Conference code: 11
PY - 2017
Y1 - 2017
N2 - We apply methods and techniques of tropical optimization to develop a new theoretical and computational framework for the implementation of the Analytic Hierarchy Process in multi-criteria problems of rating alternatives from pairwise comparison data. The framework involves the Chebyshev approximation of pairwise comparison matrices by consistent matrices in the logarithmic scale. We reduce the log-Chebyshev approximation to multidimensional tropical optimization problems, and offer complete direct solutions to the problems in the framework of tropical mathematics. The results obtained provide a closed-form solution to the rating problem of interest as either a unique score vector (up to a positive factor) or as a set of different score vectors. To handle the problem when the solution is not unique, we develop tropical optimization techniques to find those vectors from the solution set that are the most and least differentiating between the alternatives with the highest and lowest scores, and thus can be well representative of the entire solution.
AB - We apply methods and techniques of tropical optimization to develop a new theoretical and computational framework for the implementation of the Analytic Hierarchy Process in multi-criteria problems of rating alternatives from pairwise comparison data. The framework involves the Chebyshev approximation of pairwise comparison matrices by consistent matrices in the logarithmic scale. We reduce the log-Chebyshev approximation to multidimensional tropical optimization problems, and offer complete direct solutions to the problems in the framework of tropical mathematics. The results obtained provide a closed-form solution to the rating problem of interest as either a unique score vector (up to a positive factor) or as a set of different score vectors. To handle the problem when the solution is not unique, we develop tropical optimization techniques to find those vectors from the solution set that are the most and least differentiating between the alternatives with the highest and lowest scores, and thus can be well representative of the entire solution.
KW - tropical mathematics
KW - max-algebra
KW - tropical optimization problem
KW - pairwise comparison
KW - log-Chebyshev approximation
KW - multi-criteria decision
KW - Analytical Hierarchy Process
UR - https://arxiv.org/abs/1801.10524
U2 - 10.1109/EMS.2017.18
DO - 10.1109/EMS.2017.18
M3 - Chapter
SN - 978-1-5386-1411-2
T3 - European Modelling Symposium (EMS)
SP - 38
EP - 43
BT - 2017 European Modelling Symposium (EMS)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - UKSim-AMSS 11th European Modelling Symposium on Mathematical Modelling and Computer Simulation<br/>
Y2 - 20 November 2017 through 22 November 2017
ER -
ID: 32858982