Weak Pareto–Nash equilibria in generalized interval-valued multiobjective games with fuzzy constraint mappings and applications to price competition

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Authors: Wen Li, Du Zou, Deyi Li
Cited by: 0
References: 37

Abstract

In this study, we examine a generalized interval-valued multiobjective game with fuzzy constraint mappings (GIMGFCM). By employing interval support functions from convex geometry, the set of all $ d $-dimensional interval vectors is embedded into the space of real-valued continuous functions defined on the unit sphere in $ \mathbb{R}^d $. This embedding yields a closed convex cone $ \mathcal{I}(\mathbb{R}_+^d) $ within that function space. Using this cone, we define a partial order for interval vectors and establish the semi-continuity and generalized $ \mathcal{I}(\mathbb{R}_+^d) $-quasi-concavity of interval-vector-valued functions. On this basis, we propose a weak Pareto–Nash equilibrium concept for a GIMGFCM and prove an existence theorem for such equilibria. Finally, we apply the relevant theoretical framework to analyze a price competition problem between two firms that sell heterogeneous goods.

Fields of Study & Subjects

Optimization and Variational Analysis Game Theory and Applications Fuzzy Systems and Optimization

Publication details

Journal / source
AIMS Mathematics
Volume
11
Issue
1
Pages
3011–3037
Publication date
1 January 2026