مشخصات پژوهش

عنوان	Comparison of Fuzzy Inference System and Multiple Regression to Predict Synthetic Envelopes Clogging
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Prediction, Envelope clogging, Fuzzy logic, Multiple regressions
چکیده	Geo-synthetic materials are being used with acceptable performance in soil and water projects worldwide. Geotextiles are one of the categories of geo-synthetics being used in drainage systems. First generation of geotextiles used in the late 1950’s as an alternative for gravel envelopes. In this research two methods (multiple regression and fuzzy interference system) evaluate to predict synthetic envelope clogging. In multiple regression method the correlation coefficients for PP450, PP700 and PP900 are 62.66%, 79.37% and 90.62%, respectively and results of fuzzy interference system and decision tree showed that this method have high potential in comparison with multiple regression and values of total classification accuracy for PP450, PP700 and PP900 are 98.6%, 97.3% and 98% respectively. Then final results of this research showed fuzzy interference systems by using decision tree have high potential to predict clogging in envelops.
پژوهشگران	بهنام آبابایی (نفر چهارم)، محمد جواد نحوی نیا (نفر سوم)، فرهاد میرزایی (نفر دوم)، بختیار کریمی (نفر اول)