Existence of $$\alpha $$ α -Robust Weak Nash Equilibria for Leader–Follower Population Games with Fuzzy Parameters
Guoling Wang (),
Miao Wang (),
Hui Yang (),
Guanghui Yang () and
Chun Wang ()
Additional contact information
Guoling Wang: Guizhou University
Miao Wang: Guizhou University
Hui Yang: Guizhou University
Guanghui Yang: Guizhou University
Chun Wang: Guizhou Open University
Journal of Optimization Theory and Applications, 2024, vol. 203, issue 3, No 22, 2739-2758
Abstract:
Abstract This paper mainly studies the existence of $$\alpha $$ α -robust weak Nash equilibria for leader-follower population games with fuzzy parameters. First, $$\alpha $$ α -robust weak Nash equilibria for population games with fuzzy parameters are defined based on u-type set relations and their existence is proved by Fan-Glicksberg fixed theorem. Second, such equilibrium solutions are further proposed for leader-follower population games with fuzzy parameters and their existence is further shown. Finally, four examples are constructed to illustrate their feasibility, respectively. Our results are new and different from the existing ones.
Keywords: Leader–follower population games; Fuzzy parameters; Existence; $$\alpha $$ α -robust weak Nash equilibria; Set optimization; 91A10; 91A13; 03E72; 49K99 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-024-02534-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:203:y:2024:i:3:d:10.1007_s10957-024-02534-y
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-024-02534-y
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().