A comparative study of optimization models in genetic programming-based rule extraction problems
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DOI: 10.1007/s00500-017-2836-8
Abstract: In this manuscript, we identify and evaluate some of the most used optimization models for rule extraction using genetic programming-based algorithms. Six different models, which combine the most common fitness functions, were tested. These functions… read more here.
Keywords: optimization models; genetic programming; rule extraction; programming based ... See more keywords
Rule Extraction Model Based on Decision Dependency Degree
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DOI: 10.1155/2019/5850410
Abstract: Rule extraction is the core in rough set. Two procedures are contained in rule extraction: one is attribute reduction and another is attribute value reduction. It was proved through computational complexity perspective that obtaining all… read more here.
Keywords: decision; reduction; model; rule extraction ... See more keywords
Rule Extraction for Screening of COVID-19 Disease Using Granular Computing Approach
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DOI: 10.1155/2022/8729749
Abstract: In the epidemic status of an unknown virus called Coronavirus, one of the main problems is inadequate access to treatment centers. Statistics show that many people are infected with the virus through unseasonable visits to… read more here.
Keywords: covid disease; disease; rule extraction; granular computing ... See more keywords