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Outlier elimination using granular box regression.

, , , и . Inf. Fusion, (2016)

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M Reza Hamzeh'ee

M Reza Hamzeh'ee

Georg Rezat

Ali Rezai-Sarkalateh

Kianoosh Rezania

 

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A least square approach for the detection and removal of outliers for fuzzy linear regressions., , и . NaBIC, стр. 134-139. IEEE, (2010)Granular-Rule Extraction to Simplify Data., , , и . ACIIDS (2), том 9012 из Lecture Notes in Computer Science, стр. 421-429. Springer, (2015)Evaluating Extant Uranium: Linguistic Reasoning by Fuzzy Artificial Neural Networks., , и . SoMeT, том 532 из Communications in Computer and Information Science, стр. 296-307. Springer, (2015)Determining of Blood Artefacts in Endoscopic Images Using a Software Analysis., , , , и . ICCCI (2), том 9330 из Lecture Notes in Computer Science, стр. 388-397. Springer, (2015)The synergistic combination of particle swarm optimization and fuzzy sets to design granular classifier., , , и . Knowl. Based Syst., (2015)Tabu Search Solution for Fuzzy Linear Programming., , и . ACIS-ICIS, стр. 82-87. IEEE Computer Society, (2008)Software fault prediction using BP-based crisp artificial neural networks., , и . Int. J. Intell. Inf. Database Syst., 9 (1): 15-31 (2015)An improvement on genetic-based learning method for fuzzy artificial neural networks., и . Appl. Soft Comput., 9 (4): 1208-1216 (2009)Evaluating Customer Satisfaction: Linguistic Reasoning by Fuzzy Artificial Neural Networks., , , , и . New Trends in Intelligent Information and Database Systems, том 598 из Studies in Computational Intelligence, Springer, (2015)Principles of Usability in Human-Computer Interaction Driven by an Evaluation Framework of User Actions., , , , и . MobiWIS, том 9228 из Lecture Notes in Computer Science, стр. 51-62. Springer, (2015)