چکیده مقاله
A significant amount of study has been done in a variety of domains on the problem of the distance between triangular fuzzy numbers In this research, we present a fuzzy regression model, develop a new distance that can be used to measure the relationship between triangular fuzzy numbers, and integrate the least absolute deviation approach with the new distance By translating this model into linear programming, we are able to more thoroughly explore its features and model technique In addition, we look at the characteristics of the fuzzy least absolute linear regression model In addition, we present some comparisons with several pre existing fuzzy regression models and prove the reasonableness of our suggested model via the use of three numerical instances In the end, we analyze the robust characteristic of the model that we have suggested and apply our model to the data set that is missing in order to validate the model data
کلیدواژهها
نویسندگان
Zahra Behdani
Department of mathematics and statistics, Behbahan Khatam Alanbia university of technology, Khouzestan, Iran
Majid Darehmiraki
Department of mathematics and statistics, Behbahan Khatam Alanbia university of technology, Khouzestan, Iran
شیوه ارجاع
Behdani, Zahra and Darehmiraki, Majid,1402,Fuzzy least square linear regression: a new approach,5th International Conference on Software Computing,Rudsar
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی محاسبات نرم16 اسفند 1402 · رودسر