A Comparison Index for Costs of Interval Linear Programming Models

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Yayımlandı:Axioms vol. 14, no. 8 (2025), p. 569-584
Yazar: Guerra, Maria Letizia
Diğer Yazarlar: Sorini Laerte, Stefanini Luciano
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MDPI AG
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100 1 |a Guerra, Maria Letizia  |u Department of Statistical Sciences “Paolo Fortunati”, University of Bologna, 40126 Bologna, Italy 
245 1 |a A Comparison Index for Costs of Interval Linear Programming Models 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Mathematical programming 
653 |a Linear programming 
653 |a Fuzzy sets 
653 |a Inequality 
653 |a Uncertainty 
653 |a Numbers 
653 |a Optimization 
653 |a Simplex method 
700 1 |a Sorini Laerte  |u Department of Economics, Society and Politics, University of Urbino “Carlo Bo”, 61029 Urbino, Italy; laerte.sorini@uniurb.it (L.S.); luciano.stefanini@uniurb.it (L.S.) 
700 1 |a Stefanini Luciano  |u Department of Economics, Society and Politics, University of Urbino “Carlo Bo”, 61029 Urbino, Italy; laerte.sorini@uniurb.it (L.S.); luciano.stefanini@uniurb.it (L.S.) 
773 0 |t Axioms  |g vol. 14, no. 8 (2025), p. 569-584 
786 0 |d ProQuest  |t Engineering Database 
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