Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020)

Application of Fishburn Sequences in Economic and Mathematical Modeling

Authors
E S Remesnik, A V Sigal
Corresponding Author
E S Remesnik
Available Online 17 March 2020.
DOI
https://doi.org/10.2991/aebmr.k.200312.387How to use a DOI?
Abstract
The paper validates the fitness of taking a game-theoretic approach to modeling the process of executive decision-making in the economy in the context of the third information situation, when the probability values of the economic environment states are unknown and must be in line with the corresponding linear ordering relations. Using the problem of funds allocation between the assets of an enterprise as an example, the paper analyzes the changes in the decision depending on the selection of sequences, which determine the probability distribution and comply with a certain ordering relation. To estimate the probabilities, weighting systems were selected with regard to nonstrict and strengthened nonstrict ranking, which were built using the increasing generalized arithmetic Fishburn progression and the sequence generated by Fermat numbers, respectively. The paper accentuates the role of the decision-making body when selecting the estimate of distribution of the economic environment states.
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Proceedings
International Scientific Conference "Far East Con" (ISCFEC 2020)
Part of series
Advances in Economics, Business and Management Research
Publication Date
17 March 2020
ISBN
978-94-6252-929-8
ISSN
2352-5428
DOI
https://doi.org/10.2991/aebmr.k.200312.387How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - E S Remesnik
AU  - A V Sigal
PY  - 2020
DA  - 2020/03/17
TI  - Application of Fishburn Sequences in Economic and Mathematical Modeling
BT  - International Scientific Conference "Far East Con" (ISCFEC 2020)
PB  - Atlantis Press
SP  - 2733
EP  - 2737
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200312.387
DO  - https://doi.org/10.2991/aebmr.k.200312.387
ID  - Remesnik2020
ER  -