Fuzzy Membership Function Initial Values: Comparing Initialization Methods That Expedite Convergence
Fuzzy attributes are used to quantify imprecise data that model real world objects. To effectively use fuzzy attributes, a fuzzy membership function must be defined to provide the boundaries for the fuzzy data. The initialization of these membership function values should allow the data to converg...
Main Author: | Lee, Stephanie Scheibe |
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Format: | Others |
Published: |
VCU Scholars Compass
2005
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Subjects: | |
Online Access: | http://scholarscompass.vcu.edu/etd/852 http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=1851&context=etd |
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