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