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Fuzzy approximating functions and its application in solving fuzzy multi-choice linear programming models | ||
| Journal of Mathematical Modeling | ||
| مقاله 4، دوره 11، شماره 4، اسفند 2023، صفحه 649-663 اصل مقاله (208.7 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22124/jmm.2023.24269.2178 | ||
| نویسندگان | ||
| Zahra Arami؛ Maryam Arabameri* ؛ Hasan Mishmast Nehi | ||
| Department of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran | ||
| چکیده | ||
| This article considers a particular type of fuzzy multi-choice linear programming (FMCLP) model in which there are several choices for the fuzzy parameters on the right-hand side (RHS) of problem constraints. We first construct the fuzzy polynomials to solve this model using the fuzzy multi-choice parameters on the RHS of constraints. We construct the fuzzy polynomials by approximating fuzzy functions, including the binary variable approach, Lagrange, and Newton's interpolating polynomials. Also, we use the least squares approach to construct the approximating fuzzy polynomial. Then we solve the resulting model. Finally, we will examine the above techniques in numerical examples. | ||
| کلیدواژه‌ها | ||
| Fuzzy multi-choice linear programming model؛ fuzzy binary variable approach؛ fuzzy interpolation polynomials؛ fuzzy least squares method | ||
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آمار تعداد مشاهده مقاله: 98 تعداد دریافت فایل اصل مقاله: 145 |
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