Fuzzy modeling to ‘understand’ personal preferences of mHealth users: a case study

Raoul Nuijten; Uzay Kaymak; Pieter Van Gorp; Monique Simons; Pauline van den Berg; Pascale Le Blanc

doi:10.2991/eusflat-19.2019.77

Fuzzy modeling to ‘understand’ personal preferences of mHealth users: a case study

Raoul Nuijten, Uzay Kaymak, Pieter Van Gorp, Monique Simons, Pauline van den Berg, Pascale Le Blanc

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This case study evaluates to what extent personal preferences can be automatically derived from user event data in an mHealth setting. Based on a theoretical framework, user preferences are described using six classes. Based on this framework, a structure of six Takagi-Sugeno fuzzy inference systems was constructed and evaluated against baseline data from an official survey for measuring the framework's constructs. From this analysis, it was found that user preferences may be derived from user event data using fuzzy modeling with accuracy scores that are higher than a random predictor would typically achieve.

Original language	English
Title of host publication	2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
Publisher	Atlantis Press
Pages	558-565
Number of pages	8
Volume	1
ISBN (Electronic)	978-94-6252-770-6
DOIs	https://doi.org/10.2991/eusflat-19.2019.77
Publication status	Published - Sep 2019
Event	11th Conference of the European Society for Fuzzy Logic and Technology - Prague, Czech Republic Duration: 9 Sep 2019 → 13 Sep 2019

Conference

Conference	11th Conference of the European Society for Fuzzy Logic and Technology
Country	Czech Republic
City	Prague
Period	9/09/19 → 13/09/19

Keywords

fuzzy inference system
Takagi-Sugeno
personalization
mHealth

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10.2991/eusflat-19.2019.77

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Nuijten, R., Kaymak, U., Van Gorp, P., Simons, M., van den Berg, P., & Le Blanc, P. (2019). Fuzzy modeling to ‘understand’ personal preferences of mHealth users: a case study. In 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) (Vol. 1, pp. 558-565). Atlantis Press. https://doi.org/10.2991/eusflat-19.2019.77

Nuijten, Raoul ; Kaymak, Uzay ; Van Gorp, Pieter ; Simons, Monique ; van den Berg, Pauline ; Le Blanc, Pascale. / Fuzzy modeling to ‘understand’ personal preferences of mHealth users : a case study. 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Vol. 1 Atlantis Press, 2019. pp. 558-565

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Nuijten, R , Kaymak, U , Van Gorp, P, Simons, M, van den Berg, P & Le Blanc, P 2019, Fuzzy modeling to ‘understand’ personal preferences of mHealth users: a case study. in 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). vol. 1, Atlantis Press, pp. 558-565, 11th Conference of the European Society for Fuzzy Logic and Technology, Prague, Czech Republic, 9/09/19. https://doi.org/10.2991/eusflat-19.2019.77

Fuzzy modeling to ‘understand’ personal preferences of mHealth users : a case study. / Nuijten, Raoul ; Kaymak, Uzay ; Van Gorp, Pieter; Simons, Monique; van den Berg, Pauline ; Le Blanc, Pascale.

2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Vol. 1 Atlantis Press, 2019. p. 558-565.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Nuijten R , Kaymak U , Van Gorp P, Simons M, van den Berg P , Le Blanc P. Fuzzy modeling to ‘understand’ personal preferences of mHealth users: a case study. In 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Vol. 1. Atlantis Press. 2019. p. 558-565 https://doi.org/10.2991/eusflat-19.2019.77