An Exploratory Study on the Benefits of using Natural Language for Explaining Fuzzy Rule-based Systems

Jose Alonso, Alejandro Ramos Soto, Ehud Baruch Reiter, Kees van Deemter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents an empirical research. It focuses on testing empirically the benefits of providing users, in a specific domain, with textual interpretation of the fuzzy inferences carried out by a fuzzy classifier for a given selection of samples. The hypothesis to test is as follows: “Users understand easier the
decision made by a fuzzy system when they are provided with a textual interpretation of the fuzzy inference mechanism that the system carried out”. This hypothesis was successfully tested in a web survey. The application domain was leaf classification. The fuzzy classifiers were built with the GUAJE fuzzy modeling open source software which is aimed at generating interpretable fuzzy
systems. The textual interpretation was handmade by an expert who followed the guidelines of the Natural Language Generation approach proposed by Reiter and Dale. Reported results encourage us to go on with a series of additional experiments devoted to deeply explore how Natural Language Generation techniques can contribute to facilitate the understanding of fuzzy systems.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
PublisherIEEE Explore
Pages1-6
Number of pages6
ISBN (Electronic)9781509060344
ISBN (Print)9781509060351
DOIs
Publication statusPublished - Dec 2017
EventIEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017 - Naples, Italy
Duration: 9 Jul 201712 Jul 2017

Publication series

Name
ISSN (Electronic)1558-4739

Conference

ConferenceIEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Abbreviated title(FUZZ-IEEE)
CountryItaly
CityNaples
Period9/07/1712/07/17

Fingerprint

Knowledge based systems
Fuzzy inference
Fuzzy rules
Fuzzy systems
Classifiers
Testing
Experiments
Open source software

Cite this

Alonso, J., Ramos Soto, A., Reiter, E. B., & van Deemter, K. (2017). An Exploratory Study on the Benefits of using Natural Language for Explaining Fuzzy Rule-based Systems. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE Explore. https://doi.org/10.1109/FUZZ-IEEE.2017.8015489

An Exploratory Study on the Benefits of using Natural Language for Explaining Fuzzy Rule-based Systems. / Alonso, Jose; Ramos Soto, Alejandro; Reiter, Ehud Baruch; van Deemter, Kees.

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE Explore, 2017. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alonso, J, Ramos Soto, A, Reiter, EB & van Deemter, K 2017, An Exploratory Study on the Benefits of using Natural Language for Explaining Fuzzy Rule-based Systems. in 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE Explore, pp. 1-6, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017, Naples, Italy, 9/07/17. https://doi.org/10.1109/FUZZ-IEEE.2017.8015489
Alonso J, Ramos Soto A, Reiter EB, van Deemter K. An Exploratory Study on the Benefits of using Natural Language for Explaining Fuzzy Rule-based Systems. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE Explore. 2017. p. 1-6 https://doi.org/10.1109/FUZZ-IEEE.2017.8015489
Alonso, Jose ; Ramos Soto, Alejandro ; Reiter, Ehud Baruch ; van Deemter, Kees. / An Exploratory Study on the Benefits of using Natural Language for Explaining Fuzzy Rule-based Systems. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE Explore, 2017. pp. 1-6
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abstract = "This paper presents an empirical research. It focuses on testing empirically the benefits of providing users, in a specific domain, with textual interpretation of the fuzzy inferences carried out by a fuzzy classifier for a given selection of samples. The hypothesis to test is as follows: “Users understand easier thedecision made by a fuzzy system when they are provided with a textual interpretation of the fuzzy inference mechanism that the system carried out”. This hypothesis was successfully tested in a web survey. The application domain was leaf classification. The fuzzy classifiers were built with the GUAJE fuzzy modeling open source software which is aimed at generating interpretable fuzzysystems. The textual interpretation was handmade by an expert who followed the guidelines of the Natural Language Generation approach proposed by Reiter and Dale. Reported results encourage us to go on with a series of additional experiments devoted to deeply explore how Natural Language Generation techniques can contribute to facilitate the understanding of fuzzy systems.",
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