Uncertainty measures for interval type-2 fuzzy sets

By Dongrui Wu, Jerry M. Mendel. Information Sciences, 2007

386 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/d86f82e8ec580eb62ffe410974669b42cfd5c262

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dongrui Wu
2. Chern Hong Lim
3. Ekta Vats
4. Chee Seng Chan
5. Jerry M. Mendel
6. Hani Hagras
7. Feilong Liu
8. Francisco Herrera

In Biomedical Engineering

1. Dongrui Wu
2. Jerry M. Mendel
3. Chern Hong Lim
4. Ekta Vats
5. Chee Seng Chan

Citations in the corpus

• Enhanced Karnik--Mendel Algorithms (2009, background): “b) In computing the variance of an IT2 FS Ã [13], xi = xi = [zi − c(Ã)]2 , where c(Ã) is the center of the centroid of Ã, and interval [wi, wi ] is the membership grade of zi .”
• A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets (2009, background): “Note that if each J xi is discretized into Mi levels, there will be a total of nAAe, where nA ¼ YN i¼1 Mi: ð5Þ”
• Fuzzy human motion analysis: A review (2014, background): “Wu and Mendel [179,180] explained on how to design an interval type-2 FIS using the uncertainty bounds and introduced the measurement of uncertainty for interval type-2 fuzzy sets using the information such as centroid, cardinality, fuzziness, variance and skewness.”