Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Advanced Inference in Situation-Aware Computing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Anagnostopoulos, C. ; Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece ; Hadjiefthymiades, S.

Context aware computing relies on sensing environmental parameters-context (e.g., illumination, location), classifying context, and inferring further knowledge about context, i.e., the user's situation. Therefore, the relevant applications cannot handle context as flexibly as their users would expect. To overcome this deficiency, we propose an extension of context representation, classification, and inference. Our model relies on fuzzy set theory to accommodate the imperfect nature of sensed context. We develop two fuzzy inference engines dealing with context specialization and compatibility relations. We evaluate such engines through a series of experiments involving real users. Our findings indicate the efficiency of the proposed context classification and inference processes.

Published in:

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on  (Volume:39 ,  Issue: 5 )