KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Computational Bioscience Research Center (CBRC)
Applied Mathematics and Computational Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/653077
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AbstractIn this chapter, we discuss main notions related to inconsistent decision tables, and three approaches to handle inconsistency in decision tables: decision tables with many-valued decisions (MVD approach), decision tables with generalized decisions (GD approach), and decision tables with most common decisions (MCD approach). After that, we compare complexity and classification accuracy of decision trees constructed by greedy heuristics in the frameworks of these approaches.
CitationAlsolami F, Azad M, Chikalov I, Moshkov M (2019) Three Approaches to Handle Inconsistency in Decision Tables. Intelligent Systems Reference Library: 37–44. Available: http://dx.doi.org/10.1007/978-3-030-12854-8_3.