کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4943895 1437716 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of prediction models using fuzzy sets: A Bayesian inspired approach
ترجمه فارسی عنوان
استفاده از مدل های پیش بینی با استفاده از مجموعه های فازی: رویکرد الهام گرفته از بیزی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
A fuzzy inference framework based on fuzzy relations is developed, adapted and applied to temperature and humidity measurements from a specific coffee crop site in Brazil. This framework consists of fuzzy relations over possibility distributions, resulting in a model analogous to a Bayesian inference process. The application of this fuzzy model to a data set of experimental measurements and its correspondent forecasts of temperature and humidity resulted in a set of revised forecasts, that incorporate information from a historical record of the problem. Each set of revised forecasts was compared with the correspondent set of experimental data using two different statistical measures, MAPE (Mean Absolute Percentage Error) and Willmott's D. This comparison showed that the sets of forecasts revised by the fuzzy model exhibited better results than the original forecasts on both statistical measures for more than two thirds of the evaluated cases.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 319, 15 July 2017, Pages 104-116
نویسندگان
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