On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets
Type-reduction of type-2 fuzzy sets is considered to be a defuzzification bottleneck because of the computational complexity involved in the process of type-reduction. In this research, we prove that the closed-form Nie-Tan operator, which outputs the average of the upper and lower bounds of the foo...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/39982/ |
| Summary: | Type-reduction of type-2 fuzzy sets is considered to be a defuzzification bottleneck because of the computational complexity involved in the process of type-reduction. In this research, we prove that the closed-form Nie-Tan operator, which outputs the average of the upper and lower bounds of the footprint of uncertainty, is actually an accurate method for defuzzifing interval type-2 fuzzy sets. |
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