Inductive modeling of expert decision making in loan evaluation: a decision strategy perspective
Decision Support Systems - Special issue: expertise and modeling expert decision making
A bibliography of neural network business applications research: 1994–1998
Computers and Operations Research - Neural networks in business
An expert decision support system for auditor going concern evaluation
An expert decision support system for auditor going concern evaluation
Journal of Management Information Systems - Special section: Data mining
An investigation of neural network classifiers with unequal misclassification costs and group sizes
Decision Support Systems
Experimental study on fighters behaviors mining
Expert Systems with Applications: An International Journal
Decision making process: typology, intelligence, and optimization
Journal of Intelligent Manufacturing
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Previous research indicates that the human decision-making process is quite non-linear and that non-linear models would be more suitable than linear models for developing advanced decision-making models. In our study, we tested this generally held hypothesis by applying linear and non-linear models to experts' decision-making behavior and measuring the predictive accuracy (predictive validity) and valid non-linearity. As a result, we found that non-linearity in the decision-making process is positively related to the predictive validity of the decision. Secondly, in modeling the human decision-making process, we found that valid non-linearity is positively related to the predictive validity of non-linear models. Thirdly, we found that the more non-linearity is inherent in the decision-making process, the more non-linear models are effective. Therefore, we suggest that a preliminary analysis of the characteristics of expert decision-making is needed when knowledge-based models such as expert systems are being developed. We also verify that the lens model is effective in evaluating the predictive validity of human judgment and in analyzing the validity and non-linearity of the human decision-making process.