Study of Games Methodology Which Would Facilitate the Development of Expertise in The Use of Mixed Motive Games, Conflict Games and Players

Authors

  • Ritu Kumari Department of Mathematics, J. P. University, Chhapra, Bihar, India Author
  • Dr. K. B. Singh Department of Physics, Koshi College, Khagaria, Munger University, Munger, Uttar Pradesh, India Author

DOI:

https://doi.org/10.32628/IJSRST251263116

Keywords:

Fuzzy Logic, Statistical Profiler, MATLAB

Abstract

In this present paper, we study of the study of games methodology which would facilitate the development of expertise In the use of mixed motive games, Conflict games & players.

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References

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Carlsson, C. and Robert Fuller, Fuzzy Reasoning in Decision Making and Optimization, Physica-Verlag, 2022.

Chen Shui-Li and Cheng Ju-Shu:On convergence fo nets of L-fuzzy sets, J. Fuzzy Math. 2(3) (1994).

D.Dubois & H. Prade; Ranking fuzzy members in the Settling of possibility theory, Infor. Science 30 (1983).

Dresher, M. Shapley, L.S. &: Advances in game theory Tucker, A.W. Ed. Ann. of Math Studies No.52, Princeton Univ. Press, Princeton (1964).

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Engelking, R.: Outline of general topology Amesterdam (1968).

F.Galviw and R. Telgarsky: Stationary strategies in topological game, Topology Appl. 22 (1986).

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Published

12-05-2025

Issue

Vol. 12 No. 3 (2025): May-June

Section

Research Articles

License

Copyright (c) 2025 International Journal of Scientific Research in Science and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

https://creativecommons.org/licenses/by/4.0

How to Cite

[1]
Ritu Kumari and Dr. K. B. Singh, Trans., “Study of Games Methodology Which Would Facilitate the Development of Expertise in The Use of Mixed Motive Games, Conflict Games and Players ”, Int J Sci Res Sci & Technol, vol. 12, no. 3, pp. 1490–1495, May 2025, doi: 10.32628/IJSRST251263116.