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Chapter

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Title

Dominance-based Rough Set Approach to Bank Customer Satisfaction Analysis

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • Dominance-based Rough Set Approach
  • Ordinal classification
  • Monotonic relationships
  • Decision rules
  • Customer Satisfaction
Abstract

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.

Pages (from - to)

147 - 150

URL

https://wydawnictwo.umg.edu.pl/pp-rai2022/pdfs/34_pp-rai-2022-109.pdf

Book

Proceedings of the 3rd Polish Conference on Artificial Intelligence PP-RAI'2022, April 25-27, 2022, Gdynia, Poland

Presented on

3rd Polish Conference on Artificial Intelligence PP-RAI'2022, 25-27.04.2022, Gdynia, Polska

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

20

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