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Lower Bounds on Complexity of Deterministic Decision Trees for Decision Tables

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Comparative Analysis of Deterministic and Nondeterministic Decision Trees

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 179))

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Abstract

In this chapter, lower bounds on complexity of deterministic decision trees for decision tables are studied that are based on the notions of super-cover, super-partition, test, and system of representatives for decision tables. An approach to the proof of lower bounds is also considered which is based on the use of so-called proof-trees.

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References

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Correspondence to Mikhail Moshkov .

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Moshkov, M. (2020). Lower Bounds on Complexity of Deterministic Decision Trees for Decision Tables. In: Comparative Analysis of Deterministic and Nondeterministic Decision Trees. Intelligent Systems Reference Library, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-030-41728-4_3

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