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Soft Computing
Erschienen in: Soft Computing 2/2021

28.07.2020 | Methodologies and Application

Saddle point equilibrium model for uncertain discrete systems

verfasst von: Yun Sun, Hongyan Yan, Yuanguo Zhu

Erschienen in: Soft Computing | Ausgabe 2/2021

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Abstract

Uncertainty theory is a newly founded mathematical tool for modeling subjective indeterminacy. This type of indeterminate events is described as uncertain events and measured by belief degrees. In this paper, a saddle point equilibrium game model is studied for an uncertain discrete system, where the system is disturbed by an uncertain event at each stage. Applying Bellman’s dynamic programming approach, recurrence equations for this model are presented. The explicit solution of a bang–bang game model for the uncertain discrete system is obtained. Furthermore, for general cases, a hybrid intelligent algorithm is provided to approximate the solution numerically. Finally, a discrete game of duopoly is discussed to show the effectiveness of our results.
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Nächster Artikel Topic modeling combined with classification technique for extractive multi-document text summarization

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Metadaten
Titel
Saddle point equilibrium model for uncertain discrete systems
verfasst von
Yun Sun
Hongyan Yan
Yuanguo Zhu
Publikationsdatum
28.07.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 2/2021
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-05206-x

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