Abstract
In this paper, we propose a decision-tree modeling in the framework of membrane computing. We propose an algorithm to obtain a P system that is equivalent to any decision tree taken as input. In our case, and unlike previous proposals, we formulate the concepts of decision trees endogenously, since there is no external agent involved in the modeling. The tree structure can be defined naturally by the topology of the regions in the P system and the decision rules are defined by communication rules of the P system.
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Notes
A regular expression is a classical concept from formal language theory that, in this case, represents a sequence of values obtained by selecting a value of each set defined for the sum of values within a pair of parentheses.
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Sempere, J.M. Modeling of Decision Trees Through P Systems. New Gener. Comput. 37, 325–337 (2019). https://doi.org/10.1007/s00354-019-00052-4
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DOI: https://doi.org/10.1007/s00354-019-00052-4