Modeling the Adaptive Uncertainty Sets of Robust Optimization Based on Long Short-Term Memory Network and Modified Fuzzy Information Granulation

Modeling the Adaptive Uncertainty Sets of Robust Optimization Based on Long Short-Term Memory Network and Modified Fuzzy Information Granulation

To better balance the reliability and conservativeness of uncertainty sets of robust optimization, the concept of adaptive uncertainty sets is proposed in this paper. There are two processes contained in the proposed adaptive uncertainty sets, which are point prediction and uncertainty sets determin...

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Bibliographic Details
Main Authors: Yibin Qiu, Qi Li, Yuru Pan, Lanjia Huang, Cai Sun, Hanqing Yang, Jiawei Liu, Weirong Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Robust optimization
adaptive uncertainty sets
long short-term memory network
modified fuzzy information granulation
Online Access:https://ieeexplore.ieee.org/document/8972375/

Internet

https://ieeexplore.ieee.org/document/8972375/

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