Linear Equation Systems Under Uncertainty: Applications to Multiproduct Market Equilibrium
Vicente Liern,
Sandra E. Parada-Rico () and
Luis A. Conde-Solano
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Vicente Liern: Department of Mathematics for Economics and Business, University of Valencia, Avda. dels Tarongers, s/n, 46022 Valencia, Spain
Sandra E. Parada-Rico: School of Mathematics, Industrial University of Santander, Carrera 27 Calle 9, Edificio Camilo Torres, Bucaramanga 680002, Colombia
Luis A. Conde-Solano: Department of Didactics of Experimental, Social, and Mathematical Sciences, Faculty of Education, Complutense University, Calle Rector Royo-Villanova, 1, 28040 Madrid, Spain
Mathematics, 2025, vol. 13, issue 16, 1-24
Abstract:
Market equilibrium models are essential tools within classical economic theory for analyzing the interaction between supply and demand. However, traditional formulations are often based on deterministic relationships and assume the existence of perfect information, an assumption that diverges from real-world conditions, which are characterized by ambiguity and uncertainty. This article addresses the modeling of multiproduct supply and demand equilibrium under uncertainty, using systems of linear equations with fuzzy coefficients and/or variables. By applying fuzzy set theory, the model incorporates the inherent vagueness of supply and demand functions, enabling a more flexible and realistic representation of market behavior. The proposed methodology involves reformulating the equilibrium conditions through fuzzy arithmetic and examining the existence and nature of fuzzy solutions. The theoretical proposals are illustrated through a simplified real-world case involving a Colombian multinational company, demonstrating their applicability and effectiveness.
Keywords: fuzzy linear equation systems; fuzzy sets; economic equilibrium (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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