Complex Decision Rules in for jRule Algorithm and Performance Analysis
Adem Kikaj, Marko Bohanec
Journal of Networking Technology, Vol. 10, No. 1, 2019.
DOI: https://doi.org/10.6025/jnt/2019/10/1/9-17
Link: http://www.dline.info/jnt/fulltext/v10n1/jntv10n1_2.pdf
Abstract:
DEX (Decision EXpert) is a qualitative multi-criteria decision modeling methodology. DEX models are used to evaluate and analyze decision alternatives. An essential component of DEX models are decision rules, represented in terms of decision tables. Decision tables may contain many elementary decision rules and may be difficult to be understood by the
decision maker. A more compact and comprehensible representation is obtained by converting elementary decision rules to
complex rules. The DEXRule algorithm, which is currently implemented in software DEXi, has been found inefficient with large decision tables. This research is aimed at improving the efficiency of the DEX-Rule algorithm. We propose a novel algorithm, called jRule, which generates complex rules by specialization. According to performance analysis, jRule is indeed more efficient than DEXRule. The compactness of complex rules produced by both algorithms varies and there is no clear
winner.