fa Production/Inventory Production/Inventory پژوهشی Original <em>Over five decades have passed since the first wave of robust optimization studies conducted by Soyster and Falk. It is outstanding that real-life applications of robust optimization are still swept aside; there is much more potential for investigating the exact nature of uncertainties to obtain intelligent robust models. For this purpose, in this study, we investigate a more refined description of the uncertain events including </em>(1)<em> event-driven and </em>(2)<em> attribute-driven. Classical methods transform convex programming classes of uncertainty sets. The structural properties of uncertain events are analyzed to obtain a more refined description of the uncertainty polytopes. Hence, tractable robust models with a decent degree of conservatism are introduced to avoid the over-protection induced by classical uncertainty sets.</em> Robust optimization, Convex optimization, Uncertainty sets, Uncertainty events 78 90 http://iors.ir/journal/browse.php?a_code=A-10-750-2&slc_lang=fa&sid=1 M. Namakshenas m_namakshenas@ind.iust.ac.ir 00031947532846001601 00031947532846001601 Yes Iran University of Science and Technology Mir Saman pishvaee pishvaee@iust.ac.ir. 00031947532846001602 00031947532846001602 No Iran University of Science and Technology M. Mahdavi Mazdeh mazdeh@iust.ac.ir 00031947532846001603 00031947532846001603 No Iran University of Science and Technology