دانلود مقاله ISI انگلیسی شماره 82180
ترجمه فارسی عنوان مقاله

پیش بینی عملکرد محصول با استفاده از منطق فازی و مدل رگرسیون

عنوان انگلیسی
Crop yield forecasting using fuzzy logic and regression model
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
82180 2017 21 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computers & Electrical Engineering, Available online 16 November 2017

ترجمه کلمات کلیدی
میانگین مربع خطا، سری زمانی فازی میانگین خطای نرخ پیش بینی، پیش بینی، عملکرد گندم، داده های سری زمانی،
کلمات کلیدی انگلیسی
Mean Square Error; Fuzzy time series; Average forecast error rate; Prediction; Wheat yield; Time series data;
پیش نمایش مقاله
پیش نمایش مقاله  پیش بینی عملکرد محصول با استفاده از منطق فازی و مدل رگرسیون

چکیده انگلیسی

Time-Series data has been of great importance to the research field of prediction models. Over the past two decades, multitudinous fuzzy time series blueprints have been put forth for agricultural yield production. However, most of these predictions were based on 7th interval partitioning. A surprising insight was that nobody gave a sound reason to justify the choice of that particular interval. So, this paper focuses on predicting data values on a large spectrum of fuzzy logic computations based on second and third-degree relationships. This paper showcases work on 4 different types of the fuzzy interval, where each interval is tested with 4 degrees of regression equations. Each of these 16 cases is performed for the fuzzy logic relationship (FLR) 2 and 3 separately. Apart from this, the robustness of algorithm is a testament to an incredible solution for the time series model. In addition to this, A Regression analysis model has been enforced to accomplish the efficient defuzzification operation. To elucidate the process of forecasting, the historical data of wheat yield of University of Agriculture and Technology has been used.