Study on weighted Nagar-Bardini algorithms for centroid type-reduction of interval type-2 fuzzy logic systems

Author:

Chen Yang1

Affiliation:

1. College of Science, Liaoning University of Technology, Jinzhou, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference41 articles.

1. Towards the wide spread use of type-2 fuzzy logic systems in real world applications;Hagras;IEEE Computational Intelligent Magazine,2012

2. Type-2 fuzzy sets and systems: An overview;Mendel;IEEE Computational Intelligence Magazine,2007

3. Uncertainty measures for interval type-2 fuzzy sets;Wu;Information Sciences,2007

4. Load forecasting using interval type-2 fuzzy logic systems: Optimal type reduction;Khosravi;IEEE Transactions on Industrial Informatics,2014

5. Forecasting studies by designing Mamdani interval type-2 fuzzy logic systems: With the combination of BP algorithms and KM algorithms;Chen;Neurocomputing,2016

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