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Solving Uncertain Linear Equations Systems Using Monte Carlo Simulation | ||
| Computational Sciences and Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 24 اسفند 1403 | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22124/cse.2025.29715.1092 | ||
| نویسنده | ||
| Mojtaba Moradi* | ||
| Department of Industrial Engineering, Faculty of Technology and Engineering East of Guilan,University of Guilan, Rudsar-Vajargah, Guilan, Iran | ||
| چکیده | ||
| This paper introduces a novel approach for solving uncertain linear equations systems through Monte Carlo simulation. The study delves into the uncertainty distributions of variables within a linear equation system, establishing a fresh concept for solving such systems. The proposed method utilizes both inverse uncertainty distribution techniques and Monte Carlo simulation. Through examples, the paper illustrates the efficacy of this approach in effectively solving linear equation systems. | ||
| کلیدواژه‌ها | ||
| uncertainty theory؛ Monte Carlo simulation؛ uncertain linear equations system | ||
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آمار تعداد مشاهده مقاله: 42 |
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