کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
405413 677560 2006 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge
چکیده انگلیسی

This study proposes a knowledge discovery model that integrates the modification of the fuzzy transaction data-mining algorithm (MFTDA) and the Adaptive-Network-Based Fuzzy Inference Systems (ANFIS) for discovering implicit knowledge in the fuzzy database more efficiently and presenting it more concisely. A prototype was built for testing the feasibility of the model. The testing data are from a company’s human resource management department. The results indicated that the generated rules (knowledge) are useful in supporting the company to predict its employees’ future performance and then assign proper persons for appropriate positions and projects. Furthermore, the convergence of ANFIS in the model was proven to be more efficient than a generic fuzzy artificial neural network.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 19, Issue 6, October 2006, Pages 396–403
نویسندگان
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