
Dual hesitant fuzzy graphs with applications to multi-attribute ...
2020年6月1日 · In light of the proposed theoretical aspects of DHFGs, the constructed DHF MADM algorithm provides a two-stage problem solving approach by integrating the strategies of processing DHF MADM situations with correlations and prioritization relationships at the same time, which is beneficial for completing a complicated MADM with high qualities.
A genetic algorithm based on dual hesitant fuzzy preference …
2022年5月1日 · In a consensus reaching process, the dual hesitant fuzzy (DHF) elements can be coded as vectors of real numbers in the interval [0,1], which makes it suitable for the development of a genetic algorithm for a decision-making process.
Study of DHF G function algorithm used for DHF systems
2006年10月1日 · How to construct a set of DFH G function algorithm had presented. The function was easy to be generated. The methods of the parameter selection for the G function were given in theory, and the...
MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic ...
2020年11月19日 · After reviewing several basic knowledge, we first put forward four types of DHF multigranulation probabilistic models. Then, according to the MULTIMOORA method, a DHF MAGDM algorithm is designed via the proposed theoretical …
Multimedia video analytics using deep hybrid fusion algorithm
2024年9月23日 · The proposed DHF approach is compared against fusion variants of LSTM such as MFN, TFN, MRN, MRMF, MV-LSTM and applied for humor detection task on classic video datasets such as IEMOCAP, CMU-MOSI, CMU-MOSEI.
DHF-Net: A hierarchical feature interactive fusion network for …
2022年12月30日 · DHF-Net aims at a trade-off between extracting contextual and fine-grained features, and interactively fusing dialogue sentiment and behavior/intent information for deep semantics. We will describe DHF-Net in detail in the next section.
Papers with Code - dhf Explained
This feature is experimental; we are continuously improving our matching algorithm.
[2304.10136] Diversifying the High-level Features for better ...
2023年4月20日 · Incorporated into the input transformation-based attacks, DHF generates more transferable adversarial examples and outperforms the baselines with a clear margin when attacking several defense models, showing its generalization to various attacks and high effectiveness for boosting transferability.
Deep Hierarchical Feature Extraction Algorithm - ResearchGate
2017年2月1日 · In this paper, deep hierarchical feature (DHF) extraction algorithm based on the convolutional neural networks (CNN) is proposed. The essential information hidden...
Study of DHF G function algorithm used for DHF systems
The sequence design in DFH systems is investigated by exploiting the equivalence principle between the G-function algorithm and the encryption algorithm, in order to achieve high security and results show that the DFH sequences generate by the proposed algorithms significantly outperform the sequences generated by the reversible hash algorithm ...