Analysis on Hybrid Dominance-Based Rough Set Parameterization Using Private Financial Initiative Unitary Charges Data
作者： Masurah Mohamad , Ali Selamat
DOI: 10.1007/978-3-319-75417-8_30
关键词:
摘要: This paper evaluates the capability of hybrid parameter reduction approach in handling private financial initiative (PFI) unitary charges data to increase classification performance. The objective this study is analyse performance proposed assisting neural network classifier classify complex sets that might contain uncertain and inconsistent problems. consists several methods will be executed during analysis process. Slicing technique dominance-based rough set (DRSA) are two techniques play important roles In order, work, PFI covers all regions Malaysia applied experimental works. Besides, standard have also been used validate obtained results. results reveal has successfully assisted
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sci-hub.st 参考文章(16)
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