beliakov-appropriatechoice-2001.pdf (262.75 kB)
Appropriate choice of aggregation operators in fuzzy decision support systems
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
History
Journal
IEEE transactions on fuzzy systemsVolume
9Issue
6Pagination
773 - 784Publisher
Institute of Electrical and Electronics Engineers, IncLocation
Piscataway, N.J.ISSN
1063-6706eISSN
1941-0034Language
engNotes
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C1 Refereed article in a scholarly journalCopyright notice
2001, IEEEUsage metrics
Keywords
aggregation operatorsclinical guidelinesmono-tsone splinesretricted least squaresScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringmono-tone splinesrestricted least squaresLEAST-SQUARES PROBLEMPRACTICE GUIDELINESINTERPOLATIONAPPROXIMATIONCONNECTIVESSPLINESSURFACEMODELArtificial Intelligence and Image Processing
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