NDLI: Constructing Optimal Fuzzy Metric Trees for Agent Performance Evaluation

Content Provider	IEEE Xplore Digital Library
Author	Dimou, C. Falelakis, M. Symeonidis, A.L. Delopoulos, A. Mitkas, P.A.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki (Dimou, C.; Falelakis, M.; Symeonidis, A.L.; Delopoulos, A.; Mitkas, P.A.)
Abstract	The field of multi-agent systems has reached a significant degree of maturity with respect to frameworks, standards and infrastructures. Focus is now shifted to performance evaluation of real-world applications, in order to quantify the practical benefits and drawbacks of agent systems. Our approach extends current work on generic evaluation methodologies for agents by employing fuzzy weighted trees for organizing evaluation-specific concepts/metrics and linguistic terms to intuitively represent and aggregate measurement information.Furthermore, we introduce meta-metrics that measure the validity and complexity of the contribution of each metric in the overall performance evaluation. These are all incorporated for selecting optimal subsets of metrics and designing the evaluation process incompliance with the demands/restrictions of various evaluation setups, thus minimizing intervention by domain experts. The applicability of the proposed methodology is demonstrated through the evaluation of a real-world test case.
Starting Page	336
Ending Page	339
File Size	304405
Page Count	4
File Format	PDF
ISBN	9780769534961
DOI	10.1109/WIIAT.2008.374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Process design Multiagent systems fuzzy logic performance evaluation Application software Intelligent agent Organizing Fuzzy sets Aggregates Current measurement Intelligent agents Fuzzy systems Testing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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