The robustness of generalized random Bayesian abstract fuzzy economy models

Autor:	Plern Saipara, Poom Kumam
Rok vydání:	2017
Předmět:	Statistics and Probability Mathematical optimization Robustness (computer science) Bayesian probability Econometrics Fuzzy logic Analysis Variable-order Bayesian network Mathematics
Zdroj:	Random Operators and Stochastic Equations. 25:41-47
ISSN:	1569-397X 0926-6364
DOI:	10.1515/rose-2017-0004
Popis:	In the present article, we study an economic model that was suggested by Anderlini and Canning and which applies to a class of generalized Bayesian abstract fuzzy economy for product measurable spaces together with a related abstract rationality function. We prove that this model is structurally stable which implies that it is robust to ε-equilibria.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ab691f2ee025c6d42fa9f232a1e256f2 https://doi.org/10.1515/rose-2017-0004 Zobrazit plný text záznamu