Fuzzy optimization to improve mobile health and wellness recommendation systems

In this article, we focus on mobile wellness and health-related applications from the perspective of the level of imprecision present in the data used in the recommendation systems. We propose a general fuzzy optimization model based on chanced constrained optimization to design recommendation syste...

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Veröffentlicht in:	Knowledge-based systems 2018-02, Vol.142, p.108-116
Hauptverfasser:	Mezei, József, Nikou, Shahrokh
Format:	Artikel
Sprache:	eng
Schlagworte:	Chance constrained programming Decision making Design optimization Fuzzy logic Fuzzy optimization Fuzzy sets Fuzzy systems Health Linguistic variables Mathematical models Mobile health and wellness applications Optimization Recommender systems
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