Dominance-based Rough Set Approach to Bank Customer Satisfaction Analysis
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] pracownik
2022
rozdział w monografii naukowej / referat
angielski
- Dominance-based Rough Set Approach
- Ordinal classification
- Monotonic relationships
- Decision rules
- Customer Satisfaction
EN We present an application of the Dominance-based Rough Set Approach (DRSA) to analysis of bank data concerning customer satisfaction. The analysis is conducted using two new applications - RuLeStudio and RuleVisualization. The first one is designed to experiment with different rule models, depending on chosen settings. The second one is used for visualization and in-depth examination of the constructed model. Our analysis gives insight into the data in terms of monotonic decision rules which describe loyal customers and the ones who ceased cooperation with the bank. Such analysis is in vain of explainable AI, aiming to obtain a transparent decision model, that can be understood by decision makers. We also compare predictive performance of our approach with some well-known machine learning methods.
147 - 150
CC BY (uznanie autorstwa)
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