A Framework for a Fuzzy Smart Home IoT e-Health Support System

Agana, Moses Adah; Ofem, Ofem Ajah; Ele, Bassey

doi:10.1007/978-3-030-12388-8_31

Cited by 11 publications

(2 citation statements)

References 16 publications

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“…Many MCDM methods have been to this field, for example, FWA, 4 , 55 fuzzy analytic hierarchy process (FAHP), 4 , 6 , 17 , 56 , 57 FTOPSIS, 6 , 17 , 58 fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (fuzzy VIKOR), 56 , 59 fuzzy combinative distance-based assessment, 57 fuzzy inference systems, 60 , 61 fuzzy measuring attractiveness by a categorical based evaluation technique (fuzzy MACBETH), 62 etc. In the proposed methodology, FAHP and fuzzy VIKOR are used.…”

Section: Proposed Methodologymentioning

confidence: 99%

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

Wu,

Chen,

Chiu

2023

DIGITAL HEALTH

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A smart healthcare application can be judged as sustainable if it was already widely used before and will also be prevalent in the future. In contrast, if a smart healthcare application developed during the COVID-19 pandemic is not used after it, then it is not sustainable. Assessing the sustainability of smart healthcare applications is a critical task for their users and suppliers. However, it is also a challenging task due to the availability of data, users’ subjective beliefs, and different perspectives. In response to this problem, this study proposes a multi-perspective fuzzy comprehensive evaluation approach to evaluate the sustainability of a smart healthcare application from qualitative, multi-criteria decision-making and time-series perspectives. The proposed methodology has been used to evaluate the sustainability of eight smart healthcare applications. The experimental results showed that the sustainability of a smart healthcare application evaluated from different perspectives may be different. Nevertheless, another technique can be used to confirm the evaluation result generated using one technique. In other words, these views compensate for each other.

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Section: Proposed Methodologymentioning

confidence: 99%

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

Wu,

Chen,

Chiu

2023

DIGITAL HEALTH

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“…The Internet of Things and more recently the Web of Things have gained attention due to the possibility to interconnect heterogeneous devices and build complex services, through communication and data analysis [19]. In general IoT and WoT networks have been used in a plethora of scenarios, ranging from the Smart City [27] to e-Health [1], from Industry 4.0 [7] to Autonomous Driving [16].…”

Section: Related Workmentioning

confidence: 99%

WISE: A Semantic and Interoperable Web of Things Architecture for Smart Environments

Bedogni

Manfredini

Poggi

et al. 2022

2022 IEEE 8th World Forum on Internet of Things (WF-IoT)

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The rapid proliferation of Internet of Things devices has led to a number of different standards and technologies which offer novel and exciting services. One of the key aspect of the Internet of Things is its ubiquitness, as devices may spontaneously form networks and leave them possibly in short time frames. This is the case of Smart Environments such as Smart Homes, in which users carry a set of devices like wearables and mobile applications to monitor their behavior and provide contextual services. However, the interoperability and seamless interaction of different devices is yet to be fully realized. In this paper we propose WISE, a framework that leverages the Web of Thing architecture and Semantic technologies to overcome technical and conceptual interoperability difficulties and enables the creation of cooperative Smart Environments that self-adapt on the basis of users' preferences. The use of Semantic technologies enables to understand which devices can provide the needed affordances to meet the user preferences, while the WoT architecture is leveraged to access devices in a standardized manner. We also propose a reference implementation based on off-the-shelf devices which demonstrate the feasibility of WISE.

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Smart information analysis for health quality: decision tree approach

Bhatia

2023

J Ambient Intell Human Comput

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A Framework for a Fuzzy Smart Home IoT e-Health Support System

Cited by 11 publications

References 16 publications

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

WISE: A Semantic and Interoperable Web of Things Architecture for Smart Environments

Smart information analysis for health quality: decision tree approach

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