Using fuzzy technology in ambient intelligence environments

G. Acampora, V. Loia

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

16 Citations (Scopus)


Ambient intelligence (AmI, shortly) gathers best results from three key technologies, ubiquitous computing, ubiquitous communication, and intelligent user friendly interfaces. The functional and spatial distribution of tasks is a natural thrust to employ multi-agent paradigm to design and implement AmI environments. Two critical issues, common in most of applications, are (1) how to detect in a general and efficient way "context" from sensors and (2) how to process contextual information in order to improve the functionality of services. In this work we experiment a framework where hybrid techniques (distributed fuzzy control, mobile agents, fuzzy rules induction algorithms) are mixed to gain flexibility and uniformity
Original languageEnglish
Title of host publicationProceedings of the 14th IEEE International Conference on Fuzzy Systems, FUZZ '05, 25 May 2005, Reno, Nevada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)0-7803-9159-4
Publication statusPublished - 2005


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