Yusuf, H., Yang, K. and Panoutsos, G. orcid.org/0000-0002-7395-8418 (2021) Fuzzy multi-criteria decision-making: example of an explainable classification framework. In: Jansen, T., Jensen, R., Mac Parthaláin, N. and Lin, C.-M., (eds.) Advances in Computational Intelligence Systems (UKCI 2021). UKCI 2021: Advances in Computational Intelligence Systems, 08-10 Sep 2021, Aberystwyth, United Kingdom. Advances in Intelligent Systems and Computing, 1409 . Springer , pp. 15-26. ISBN 9783030870935
Abstract
Explanation, or system interpretability, has always been important in applications where critical decisions need to be made, for example in the justice system or biomedical applications. In artificial intelligence and machine learning, there is an ever increasing need for system interpretability. This paper investigates a Fuzzy Multi-Criteria Decision-Making (MCDM) model as the basis for an interpretable framework for explainable classification. The proposed framework includes a Fuzzy Inference System paired with a modified MCDM-based model for data-driven classification. The modular nature of MCDM allows for the development of a model-based layer capable of generating factual and counterfactual explanations. Results on a ‘Titanic’ survivors’ dataset classification, which illustrates a minimal trade-off in predictive performance while gaining textual and graphical explanation, autonomously provided by the proposed model-based MCDM framework.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. This is an author-produced version of a paper subsequently published in Advances in Computational Intelligence Systems. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Fuzzy logic; Interpretability; Multi-criteria decision making; Explainable-AI |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Jan 2022 11:42 |
Last Modified: | 18 Nov 2022 01:13 |
Status: | Published |
Publisher: | Springer |
Series Name: | Advances in Intelligent Systems and Computing |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-87094-2_2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182962 |