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Journal of Information and Optimization Sciences cover

Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

A comparative approach for decision making models

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pp. 1249–1262Vol. 47Issue 4April 2026DOI: 10.47974/JIOS-2171XML
Received:
01 Nov 2025
Published Online:
04 Apr 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2171
Pages:
1249–1262

Abstract

Game theory offers a logical method of examining social and competitive scenarios that involve several decision-makers. It allows one to investigate independent and interdependent decisions of players. This work presents a novel methodology of tackling decision-making problems that occur in both assignment models and in scenarios of certainty, uncertainty and risk scenarios. The newly suggested methods are used in the combination with the classical ones to accentuate their usefulness and efficiency. The two types of decision making are divided into symmetric and non-symmetric, and both are discussed within the game-theoretic point of view. In addition, the findings achieved are also compared with those obtained using conventional methods to show the strength of the suggested tools. The convergence behaviour of the techniques is also examined to demonstrate the way rate of convergence in the uncertainty-based decision models and assignment problems can be enhanced. The optimality of solutions is confirmed with the help of MATLAB and graphical representation of the solutions is produced in cases of symmetry and non-symmetry. Overall, the paper demonstrates that the suggested approaches can be used to solve a great variety of issues with certainty, uncertainty and risk by combining game theory with decision-making concepts.

Keywords

Assignment problemGame theoryDecision under certaintyDecision under uncertainty and riskNew-proposed methodMATLAB programming

Subject Classifications

90C0591A1091A8090B0690C9068N30

References

[1] H. Basirzadeh, “Ones assignment method for solving assignment problems,” Applied Mathematical Sciences, vol. 6, no. 47, pp. 2345–2355 (2012).
[2] H. Dil Afroz and M. A. Hossen, “New proposed method for solving assignment problems and comparative study with the existing methods,” IOSR Journal of Mathematics, vol. 13, no. 2, pp. 84–88 (2017).
[3] N. Rai, K. Rai, and A. J. Khan, “New approach to solve assignment problem,” International Journal of Innovative Science, Research and Technology, vol. 2, no. 10 (2017).
[4] A. Seethalakshmi and N. Srinivasan, “A new methodology for solving a maximization assignment problem,” International Journal of Latest Research in Science and Technology, vol. 5, no. 6, pp. 10–13 (2016).
[5] B. S. Goel and S. K. Mittal, Operations Research, 50th ed., Meerut, India: Pragati Prakashan (1982).
[6] H. A. Taha, Operations Research: An Introduction, 10th ed., New Jersey, USA: Pearson Prentice Hall (2017).
[7] A. R. Kumar and S. Deepa, “An application of the assignment problems,” International Journal of Physical and Social Sciences, vol. 5, no. 5, pp. 183 (2015).
[8] S. Mishra, “Solving transportation problem by various methods and their comparison,” International Journal of Mathematics Trends and Technology, vol. 44, no. 4, pp. 270–275 (2017).
[9] D. F. Votaw and A. Orden, “The personnel assignment problem,” in Proceedings of the Symposium on Linear Inequalities and Programming (SCOOP-10), U.S. Air Force, pp. 155–163 (1952).
[10] Lin Chi-Jen and Lin Wan-Ting,” A systematic weighted-Hungarian-algorithm for optimization and post optimal analysis of transportation problem”, Journal of Statistics and Management Systems, vol. 26, no. 4, pp. 843–866 (2023). DOI: 10.47974/JSMS-936
[11] C. T. Artikis and P. T. Artikis, “Establishing a stochastic model for optimal decision making incorporating a random sum of discounted random variables,” Journal of Information and Optimization Sciences, vol. 46, no. 3, pp. 831–850 (2025). doi: 10.47974/JIOS-1882.
[12] K. P. Kamble, G. V. Gosavi, V. Deshpande, S. S. Gaikwad, S. B. Patil, and R. D. Shelke, “Applications of fuzzy set theory and topology in decision making for autonomous systems and robotics,” Journal of Information and Optimization Sciences, vol. 46, no. 4-B, pp. 1303–1312 (2025). doi: 10.47974/JIOS-1991.
[13] S. V. Joshi, N. R. Wagh, J. R. R. Kumar, D. Dongre, N. Rizvi, and M. Bhowmik, “Mitigating DoS attacks with an intrusion detection and prevention system based on 2-player Bayesian game theory,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-B, pp. 809–820 (2024). doi: 10.47974/JDMSC-1957.

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