A proposal of ubiquitous fuzzy computing for Ambient Intelligence

Acampora, Giovanni; Loia, Vincenzo

doi:10.1016/j.ins.2007.08.023

Cited by 65 publications

(27 citation statements)

References 11 publications

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“…Fuzzy set techniques have been widely recognized for dealing with uncertainty in ambient intelligence (Acampora and Loia 2008) and human-centric systems (Pedrycz 2010). In this paper we are interested in a deeper understanding of such uncertainties and how they can be quantified for human decision makers.…”

Section: Introductionmentioning

confidence: 99%

Comparative measures of aggregated uncertainty representations

Elmore

Petry

Yager

2014

J Ambient Intell Human Comput

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Uncertainty must be taken into account in all aspects of ambient intelligence and human decisions and activities. We investigate how to utilize both probabilistic and possibilistic sources of information for use in humanized decision-making. In particular we examine aspects of the possibilistic conditioning of probability developed by Yager. To provide bounding of the resulting probability analysis of the cases of completely certain and uncertain probability and possibility distribution are carried out. Additionally the cases of intermediate uncertainty and a general case of possibilities are analyzed. The Zadeh consistency measure is also used to assess these cases. To consider whether the conditioned probability is more informative for decision-making, three measures, Shannon entropy, Gini index and Renyi entropy are used to compare the original probability distributions and the conditioned distribution for the cases described.

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Section: Introductionmentioning

confidence: 99%

Comparative measures of aggregated uncertainty representations

Elmore

Petry

Yager

2014

J Ambient Intell Human Comput

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“…As such, there are model proposals to explain and potentially predict any undesirable effects considering a series of factors believed to influence user/occupant behaviour [9]. Other approaches, relate environment attributes to people attributes such as heart rate which may be used to infer thermal comfort levels and detect stress induced by environment attributes and unoptimised values [10].…”

Section: Ambient Intelligence Techniquesmentioning

confidence: 99%

Experimental Study of the Stress Level at the Workplace Using an Smart Testbed of Wireless Sensor Networks and Ambient Intelligence Techniques

Silva

Olivares

Royo

et al. 2013

Lecture Notes in Computer Science

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Abstract. This paper combines techniques of ambient intelligence and wireless sensor networks with the objective of obtain important conclusions to increase the quality of life of people. In particular, we oriented our study to the stress at the workplace, because stress is a leading cause of illness and disease. This article presents a wireless sensor network obtaining information of the environment, a pulse sensor obtaining hear rate values and a complete data analysis applying techniques of ambient intelligence to predict stress from these environment variables and people attributes. Results show promise on the identification of stressful situations as well as stress inference through the use of predictive algorithms.

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“…For instance, Acampora and Loia (2008), Acampora et al (2010) present a framework based on fuzzy theory. This framework offers Ambient intelligent environments and environmental decisions 187 context-aware fuzzy services by applying learning and cooperation concepts from multi-agent systems in order to maximize the comfort of its user.…”

Section: Motivationmentioning

confidence: 99%

Ambient intelligent environments and environmental decisions via agent-based systems

Becerra

Kremer

2011

J Ambient Intell Human Comput

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This work introduces an alternative approach to designing ambient intelligent environments by using a multi-agent system consisting of agents that represent inhabitants (humans, animals, plants, and objects) of the environment and physical devices (sensors and actuators) that control and monitor the environment. Inhabitants are able to compromise their own needs for the betterment of the environment as a whole. This synergy creates a balance where each inhabitant potentially receives sub-optimal environmental conditions but the environment as a whole achieves a optimal level. This work addresses several issues involving multiple parameter optimization and constraint satisfaction while maintaining the well being and physical structure of the inhabitants of an environment as well as the comfort of multiple human inhabitants sharing the same environment and its resources.

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A proposal of ubiquitous fuzzy computing for Ambient Intelligence

Cited by 65 publications

References 11 publications

Comparative measures of aggregated uncertainty representations

Comparative measures of aggregated uncertainty representations

Experimental Study of the Stress Level at the Workplace Using an Smart Testbed of Wireless Sensor Networks and Ambient Intelligence Techniques

Ambient intelligent environments and environmental decisions via agent-based systems

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