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Appropriate choice of aggregation operators in fuzzy decision support systems

Beliakov, Gleb and Warren, Jim 2001, Appropriate choice of aggregation operators in fuzzy decision support systems, IEEE transactions on fuzzy systems, vol. 9, no. 6, pp. 773-784.

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Title Appropriate choice of aggregation operators in fuzzy decision support systems
Author(s) Beliakov, Gleb
Warren, Jim
Journal name IEEE transactions on fuzzy systems
Volume number 9
Issue number 6
Start page 773
End page 784
Publisher Institute of Electrical and Electronics Engineers, Inc
Place of publication Piscataway, N.J.
Publication date 2001-12
ISSN 1063-6706
Keyword(s) aggregation operators
clinical guidelines
mono-tsone splines
retricted least squares
Summary Fuzzy logic provides a mathematical formalism for a unified treatment of vagueness and imprecision that are ever present in decision support and expert systems in many areas. The choice of aggregation operators is crucial to the behavior of the system that is intended to mimic human decision making. This paper discusses how aggregation operators can be selected and adjusted to fit empirical data—a series of test cases. Both parametric and nonparametric regression are considered and compared. A practical application of the proposed methods to electronic implementation of clinical guidelines is presented
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2001, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30001297

Document type: Journal Article
Collections: School of Information Technology
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