Complex & Intelligent Systems
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A new group decision making approach based on incomplete probabilistic dual hesitant fuzzy preference relations
Complex & Intelligent Systems - Tập 7 - Trang 3033-3049 - 2021
As an enhanced version of probabilistic hesitant fuzzy sets and dual hesitant fuzzy sets, probabilistic dual hesitant fuzzy sets (PDHFSs) combine probabilistic information with the membership degree and non-membership degree, which can describe decision making information more reasonably and comprehensively. Based on PDHFSs, this paper investigates the approach to group decision making (GDM) based......
New similarity measure and distance measure for Pythagorean fuzzy set
Complex & Intelligent Systems - Tập 5 - Trang 101-111 - 2018
Pythagorean fuzzy set (PFS), disposing the indeterminacy portrayed by membership and non-membership, is a more viable and effective means to seize indeterminacy. Due to the defects of existing Pythagorean fuzzy similarity measures or distance measures (cannot obey third or fourth axiom; have no power to differentiate positive and negative difference; have no power to deal the division by zero prob......
Strategic rationing and freshness keeping of perishable products under transportation disruptions and demand learning
Complex & Intelligent Systems - Tập 8 - Trang 4513-4527 - 2021
This paper considers a retailer who sells perishable fresh products directly to customers through an online channel and encounters a transportation disruption. Products shipped during the disruption period come with an uncontrollable delivery lead time, resulting in product quality degradation. To balance the compensation price provided to customers because of quality losses, the retailer might em......
Efficient federated learning on resource-constrained edge devices based on model pruning
Complex & Intelligent Systems - Tập 9 - Trang 6999-7013 - 2023
Federated learning is an effective solution for edge training, but the limited bandwidth and insufficient computing resources of edge devices restrict its deployment. Different from existing methods that only consider communication efficiency such as quantization and sparsification, this paper proposes an efficient federated training framework based on model pruning to simultaneously address the p......
Unexpected interest recommender system with graph neural network
Complex & Intelligent Systems - Tập 9 - Trang 3819-3833 - 2022
Traditional recommender systems often face the filter bubble problem when they focus on recommending familiar items to users. The over-specialized recommended contents will make users bored. To solve this problem, researchers have proposed models that focus on unexpectedness, but these models all suffer from incomplete learning of features. To address this problem, we propose an unexpected interes......
Một phương pháp tìm kiếm địa phương Pareto song song đặc thù cho việc hỗ trợ ra quyết định phản ứng của một phần mở rộng RCPSP đặc biệt Dịch bởi AI
Complex & Intelligent Systems - Tập 9 - Trang 7055-7073 - 2023
Nhiệm vụ thu thập thông tin thảm họa cần được thực hiện sau khi thảm họa xảy ra để cung cấp thông tin chi tiết cho các nhà ra quyết định. Trong quá trình thực hiện nhiệm vụ thu thập thông tin, có thể xuất hiện một số gián đoạn và ngăn cản nguồn lực được sử dụng cho việc thu thập thông tin hoàn thành nhiệm vụ theo kế hoạch. Trong những hoàn cảnh như vậy, thật khó khăn cho các nhà ra quyết định để l......
Visual sentiment analysis with semantic correlation enhancement
Complex & Intelligent Systems - - Trang 1-13 - 2023
Visual sentiment analysis is in great demand as it provides a computational method to recognize sentiment information in abundant visual contents from social media sites. Most of existing methods use CNNs to extract varying visual attributes for image sentiment prediction, but they failed to comprehensively consider the correlation among visual components, and are limited by the receptive field of......
Q-rung orthopair hesitant fuzzy preference relations and its group decision-making application
Complex & Intelligent Systems - - Trang 1-22 - 2023
To express the opinions of decision-makers, q-rung orthopair hesitant fuzzy sets (q-ROHFSs) have been employed extensively. Therefore, it is necessary to construct q-rung orthopair hesitant fuzzy preference relations (q-ROHFPRs) as a crucial decision-making tool for decision-makers. The goal of this paper aims to define a new consistency and consensus approach for solving q-ROHFPR group decision-m......
RETRACTED ARTICLE: Towards secure deep learning architecture for smart farming-based applicationsAbstract The immense growth of the cloud infrastructure leads to the deployment of several machine learning as a service (MLaaS) in which the training and the development of machine learning models are ultimately performed in the cloud providers’ environment. However, this could also cause potential security threats and privacy risk as the deep learning algorithms n... ...
Complex & Intelligent Systems - - 2021
Multi-feature contrastive learning for unpaired image-to-image translation
Complex & Intelligent Systems - Tập 9 - Trang 4111-4122 - 2022
Unpaired image-to-image translation for the generation field has made much progress recently. However, these methods suffer from mode collapse because of the overfitting of the discriminator. To this end, we propose a straightforward method to construct a contrastive loss using the feature information of the discriminator output layer, which is named multi-feature contrastive learning (MCL). Our p......
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