RETRACTED: Hybridization of fuzzy rough feature selection with ANFIS and turbulent flow of water optimization for managing software defect prediction uncertainty-Reference-Cited by-同舟云学术

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RETRACTED: Hybridization of fuzzy rough feature selection with ANFIS and turbulent flow of water optimization for managing software defect prediction uncertainty

Published:2024-04-08 Issue: Volume: Page:1-21
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Elsabagh M.A.¹,Emam O.E.²,Medhat T.³,Gafar M.G.¹

Affiliation:

1. Department of Machine Learning and Information Retrieval, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt

2. Department of Information Systems, Faculty of Computers and Artificial Intelligence, Helwan University, Egypt

3. Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference88 articles.

1. Combining particle swarm optimization based feature selection and bagging technique for software defect prediction;Wahono;Int. J. Softw. Eng. Its Appl.,2013

2. Meta-heuristic optimization algorithm for predicting software defects;Elsabagh;Expert Syst.,2021

3. Optimized ANFIS model using hybrid metaheuristic algorithms for Parkinson’s disease prediction in IoT environment;El-Hasnony;IEEE Access,2020

4. Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content;Kuang;Soil Tillage Res.,2015

5. Software defect prediction usingBayesian networks;Okutan;Empir. Softw. Eng.,2014

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