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Author Fereidunian, A. ♦ Zamani, M.-A. ♦ Lucas, C. ♦ Lesani, H. ♦ Lehtonen, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Fuzzy Sets ♦ Automation ♦ Intelligent Control and Automation ♦ Utility management Automation (UMA) ♦ Expert Systems ♦ Performance Shaping Factors (PSF) ♦ Humans ♦ Power Distribution Automation (DA) ♦ Power system modeling ♦ Aerospace industry ♦ Fuzzy sets ♦ Adaptive Autonomy (AA) ♦ Power distribution ♦ Intelligent systems ♦ Expert systems ♦ Hybrid intelligent systems ♦ Human-Automation Interaction (HAI) ♦ Fuzzy systems
Abstract Intelligent control and automation is associated with expert systems; especially, when it needs to human expertise. Earlier we introduced a framework for implementation of adaptive autonomy (AA) in human-automation interaction systems, followed by a data-fusion-equipped expert system to realize that. This paper uses fuzzy sets concept to realize the AA expert system, in a real automation application. The presented adaptive autonomy fuzzy expert system (AAFES) determines the Level of Automation (LOA), adapting it to the changing Performance Shaping Factors (PSF) of automation system. The paper includes design methodology and implementation results for AAFES, and discussion on results. Results show that AAFES yields proper LOAs, even in the new contingency situations. This is caused by AAFES’s higher intelligence than the crisp (binary) one. Moreover, since AAFES deals with fuzzy linguistic PSFs, it more realistically represents the experts’ opinion.
ISBN 9781424447350
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-11-30
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 707.19 kB
Page Count 6
Starting Page 761
Ending Page 766

Source: IEEE Xplore Digital Library