کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
496395 | 862858 | 2011 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction and query evaluation using linguistic decision trees
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
Linguistic decision tree (LDT) is a tree-structured model based on a framework for “Modelling with Words”. In previous research [15] and [17], an algorithm for learning LDTs was proposed and its performance on some benchmark classification problems were investigated and compared with a number of well known classifiers. In this paper, a methodology for extending LDTs to prediction problems is proposed and the performance of LDTs are compared with other state-of-art prediction algorithms such as a Support Vector Regression (SVR) system and Fuzzy Semi-Naive Bayes [13] on a variety of data sets. Finally, a method for linguistic query evaluation is discussed and supported with an example.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 5, July 2011, Pages 3916–3928
Journal: Applied Soft Computing - Volume 11, Issue 5, July 2011, Pages 3916–3928
نویسندگان
Zengchang Qin, Jonathan Lawry,