Explaining Computer Predictions with Augmented Appraisal Degrees

DOI

10.2991/eusflat-19.2019.24How to use a DOI?

Keywords

Explainable artificial intelligence Augmented appraisal degrees Augmented fuzzy sets Support vector machines

Abstract

An augmented appraisal degree (AAD) has been conceived as a mathematical representation of the connotative meaning in an experience-based evaluation, which depends on a particular experience or knowledge. Aiming to improve the interpretability of computer predictions, we explore the use of AADs to represent evaluations that are performed by a machine to predict the class of a particular object. Hence, we propose a novel method whereby predictions made using a support vector machine classification process are augmented through AADs. An illustrative example, in which the classes of handwritten digits are predicted, shows how the augmentation of such predictions can favor their interpretability.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Marcelo Loor
AU  - Guy De Tré
PY  - 2019/08
DA  - 2019/08
TI  - Explaining Computer Predictions with Augmented Appraisal Degrees
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 158
EP  - 165
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.24
DO  - 10.2991/eusflat-19.2019.24
ID  - Loor2019/08
ER  -