Appropriate choice of aggregation operators in fuzzy decision support systems
- 1 December 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Fuzzy Systems
- Vol. 9 (6), 773-784
- https://doi.org/10.1109/91.971696
Abstract
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. The 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.Keywords
This publication has 48 references indexed in Scilit:
- Asthma and chronic obstructive airway diseases are associated with osteoporosis and fractures: A literature reviewRespirology, 1999
- Fuzzy sets and membership functions based on probabilitiesInformation Sciences, 1996
- APPROXIMATE REASONING AND INTERPRETATION OF LABORATORY TESTS IN MEDICAL DIAGNOSTICSCybernetics and Systems, 1995
- A one-pass algorithm for shape-preserving quadratic spline interpolationJournal of Scientific Computing, 1992
- Monotone Regression Splines in ActionStatistical Science, 1988
- On Linear Restricted and Interval Least-Squares ProblemsIMA Journal of Numerical Analysis, 1988
- Distribution of mathematical software via electronic mailCommunications of the ACM, 1987
- Algorithm 587: Two Algorithms for the Linearly Constrained Least Squares ProblemACM Transactions on Mathematical Software, 1982
- An algorithm for solving the restricted least squares problemThe Journal of the Australian Mathematical Society. Series B. Applied Mathematics, 1979
- A Branch-and-Bound Solution of a Restricted Least Squares ProblemTechnometrics, 1976