Software Defect Classification: A Comparative Study of Rough-Neuro-fuzzy Hybrid Approaches with Linear and Non-linear SVMs

DOI10.1007/978-3-540-89921-1_8zbMath1171.68659OpenAlexW66903089MaRDI QIDQ3628692

Rajen B. Bhatt, Sheela Ramanna, James F. Peters

Publication date: 20 May 2009

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-89921-1_8

zbMATH Keywords

classificationrough setssupport vector machinesfuzzy-rough classification treesneuro-fuzzy decision treessoftware defects

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Applications of rough sets in big data analysis: an overview

Cites Work

• ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
• Rough sets
• A Complexity Measure
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