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A Comparison Index for Costs of Interval Linear Programming Models

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Publicado en:Axioms vol. 14, no. 8 (2025), p. 569-584
Autor principal: Guerra, Maria Letizia
Otros Autores: Sorini Laerte, Stefanini Luciano
Publicado:
MDPI AG
Materias:
Mathematical programming
Linear programming
Fuzzy sets
Inequality
Uncertainty
Numbers
Optimization
Simplex method
Acceso en línea:Citation/Abstract
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Resumen:Interval Linear Programming (ILP) presents several compelling challenges when applied to real-world problems that cannot be easily captured by traditional robust uncertainty models. In this paper, we propose a novel solution method that employs a comparison index for interval ordering based on the generalized Hukuhara difference. This approach proves to be highly effective in comparing solutions within ILP frameworks. Additionally, we discuss the robustness of the proposed methodology and its implications for decision-making under uncertainty.
ISSN:2075-1680
DOI:10.3390/axioms14080569
Fuente:Engineering Database