چکیده مقاله
This paper presents a qualitative comparison of four linear programming approaches to modeling uncertainty: deterministic, fuzzy following Zimmermann's method , robust based on the Bertsimas and Sim formulation , and hybrid robust fuzzy models Unlike prior quantitative studies, this research employs an interpretive synthesis of four peer reviewed articles by Azar, Amini, and Ahmadi, published between Y 1 and, all of which applied these methods to performance based budgeting PBB in Iranian universities The study aims to identify the relative strengths and limitations of each approach in handling different types of uncertainty and decision making contexts Findings reveal that fuzzy models introduce minimal structural complexity while offering greater flexibility in handling ambiguity In contrast, robust models provide strong feasibility guarantees under parameter variation but at the cost of increased structural overhead and reduced optimality Hybrid robust fuzzy models strike a balance between flexibility and reliability, reducing model complexity compared to pure robust models while enhancing interpretability compared to standard fuzzy formulations The paper concludes that no single approach is universally superior Instead, model selection should be context driven based on the nature of uncertainty, the decision maker's risk tolerance, and the specific application requirements The comparative framework offered here provides a conceptual guide for selecting appropriate modeling techniques in uncertainty sensitive domains such as public finance
کلیدواژهها
نویسندگان
علیرضا قاراخانی
عضو هیت علمی گروه معماری، واحد سوادکوه، دانشگاه آزاد اسلامی، سوادکوه، ایران
Mohamad Reza Amini
Assistant Professor, Faculty of Entrepreneurship, University of Tehran
شیوه ارجاع
Amini, Mohamad Reza,1404,Modeling Uncertainty: A Qualitative Comparison of LP Approaches,The 10th international conference on key researches in management, accounting, banking and economics,Mashhad
ارائهشده در
مجموعه مقالات دهمین همایش بین المللی پژوهش های شاخص در مدیریت، حسابداری، بانکداری و اقتصاد15 مرداد 1404 · مشهد