PaperFILM: a fuzzy inductive learning method for automated knowledge acquisition
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2018, Expert Systems with ApplicationsCitation Excerpt :DT induces the decision rules. The positions of the rules in the decision tree are usually determined using heuristics (Jeng, Jeng, & Liang, 1997). For example, if profitability was found to be more important than liquidity, it will be placed above, or evaluated before, liquidity.
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2016, Renewable and Sustainable Energy ReviewsPredicting restaurant financial distress using decision tree and AdaBoosted decision tree models
2014, Economic ModellingCitation Excerpt :Specially, the non-parametric prediction method known as decision tree (DT) or recursive partitioning has been used in an attempt to bypass the above mentioned assumptions in MDA and logit (Frydman et al., 1985; Marais et al., 1984). In addition to the previous DT studies (e.g., Jeng et al., 1997; Lee et al., 1996; Olmeda and Fernandez, 1997; Tam and Kiang, 1992), more recent studies used DT in financial distress prediction (Bastos, 2008; Gepp et al., 2010; Huarng et al., 2005; Joos et al., 1998; Koh, 2004; Li et al., 2010; Lin and McClean, 2001; Quinlan, 1996; Shirata, 1998). Past research has justified the search for the new financial distress prediction approaches of DT models and Adaptive boosted (AdaBoosted) DT models in the context of the restaurant industry.
Recognition of multi-interval rules in dataset with continuous-valued attributes
2009, Expert Systems with ApplicationsCitation Excerpt :By such induced knowledge structure, the system can therefore deal with similar tasks with more efficiency and effectiveness (Simon, 1983). Knowledge retrieval based on machine learning is a process which turns human knowledge into machine code that can be recognized by computers (Jeng, Jeng, & Liang, 1997). The knowledge structures learned by machine learning are more convenient to manage through ordinal methods (Pazzani & Kibler, 1992).
A methodology for automated fuzzy model generation
2008, Fuzzy Sets and Systems