Uncertainty Management in Smart Environment
1Coventry University, Coventry, UK
2Bournemouth University, Dorset, UK
3Southwest University, Chongqing, China
4Queen’s University Belfast, Belfast, UK
Uncertainty Management in Smart Environment
Description
The deployment of smart devices has created a body of new application domains: ambient intelligence, Internet of things, industrial control and monitoring systems, assistive living, intelligent surveillance, and so forth. In these applications, quantitative information is usually gathered from sensors, which inevitably contain uncertainty and possibly inconsistency, due to reasons such as tampered or malfunctioning sensors. In addition, postprocessing of sensor data (e.g., transmission via sensor networks and video feature analytics) also brings in uncertainty and ambiguity. To utilize the data, uncertainty management approaches have been incorporated in practical applications of smart environments. To this end, the Editors of “Mathematical Problems in Engineering” are pleased to launch this new special issue.
This special issue is intended to present high quality, original research articles as well as review articles focused on advances of uncertainty management approaches applied to diverse smart environments. The potential papers must cover both uncertainty management and the application on smart environments.
Potential topics include, but are not limited to:
- Uncertainty management approaches include:
- Probability theory
- Imprecise probabilities
- Evidence theory
- Fuzzy sets
- Possibility theory
- Decision trees
- Neural networks
- Multicriteria decision-making
- Smart environment applications include:
- Healthcare applications
- Multisensor and multimodal fusion
- Video surveillance
- Remote sensing
- Assistive living
- Situation awareness
- Internet of things
- Industrial control and monitoring systems
- Wearable devices
- Mobile applications