A Comprehensive Exploration of Decision Science: The Concept of Set and the Foundation of Modern Mathematics

Authors

  • Shangheng Cai

DOI:

https://doi.org/10.54097/wt87cv94

Keywords:

The Rough Set; Non-cooperative Game Theory; Decision Making.

Abstract

Set theory and finite sets are important mathematical tools in today's decision-making fields. This analysis will introduce and contrast Rough sets and game theory, two powerful mathematical tools. Set theory provides essential mathematical tools and conceptual frameworks for applications such as fuzzy sets or conventional sets utilised in Rough sets and decision matrices in contemporary game or decision science. By drawing parallels between the two, this study hopes to give a thorough examination of the challenges and opportunities that contemporary mathematics will soon face as it advances decision science. One significant theoretical effort in this research is an attempt to return the decision matrix issue to a set-theoretical framework.

Downloads

Download data is not yet available.

References

Pawlak Z, Polkowski L, Skowron A. Rough set theory. KI. 2001, 15(3): 38-9.

Zhang Q, Xie Q, Wang G. A survey on rough set theory and its applications. CAAI Transactions on Intelligence Technology. 2016, 1(4): 323-33.

Pawlak Z. Rough set theory and its applications to data analysis. Cybernetics & Systems. 1998, 29(7): 661-88.

Azam N, Yao J. Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets. International journal of approximate reasoning. 2014, 55(1): 142-55.

Bashir Z, Mahnaz S, Abbas Malik MG. Conflict resolution using game theory and rough sets. International Journal of Intelligent Systems. 2021, 36(1): 237-59.

Yao J, Herbert JP. A game-theoretic perspective on rough set analysis. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition). 2008, 20(3): 291-8.

Hilbert D, Ackermann W. Principles of mathematical logic. American Mathematical Society; 2022.

Ewald W, Sieg W. David Hilbert's Lectures on the Foundations of Arithmetic and Logic 1917-1933. Springer Berlin Heidelberg; 2013.

Mancosu P. Between Russell and Hilbert: Behmann on the foundations of mathematics. Bulletin of Symbolic Logic. 1999, 5(3): 303-30.

Holt CA, Roth AE. The Nash equilibrium: A perspective. Proceedings of the National Academy of Sciences. 2004, 101(12): 3999-4002.

Hamburger H. N‐person prisoner's dilemma. Journal of Mathematical Sociology. 1973, 3(1): 27-48.

Myerson RB. Refinements of the Nash equilibrium concept. International journal of game theory. 1978, 73-80.

Downloads

Published

29-03-2024

How to Cite

Cai, S. (2024). A Comprehensive Exploration of Decision Science: The Concept of Set and the Foundation of Modern Mathematics. Highlights in Science, Engineering and Technology, 88, 203-207. https://doi.org/10.54097/wt87cv94