Corporate profitability analysis: a novel application for paraconsistent logic
Rodrigo Prante Dill, Newton C. A. da Costa, André Alves Portela Santos
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摘要与影响
This study explores the application of paraconsistent annotated evidential logic for analyzing the profitability of companies. We implemented a model that allocated degrees of favorable and contrary evidence to selected profitability ratios, defined using data from sixty-seven food industry companies. The degrees of favorable and contrary evidence assigned to each profitability index were based on which decile they were in. This model was implemented as a dedicated software program that calculates degrees of favorable and contrary evidence for the full set of indices and then provides an overall assessment of evidence in favor of or contradicting each company’s profitability. The results produced by the model
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计算机 / AIRough Sets and Fuzzy Logic
Financial Distress and Bankruptcy Prediction · Auditing, Earnings Management, Governance
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