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......
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......
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......
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......
Data collection protocols for VANETs: a survey
Complex & Intelligent Systems - Tập 8 - Trang 2593-2622 - 2022
We live in the era of Intelligent Transport Systems (ITS), which is an extension of Vehicular AdHoc Networks (VANETs). In VANETs, vehicles act as nodes connected with each other and sometimes with a public station. Vehicles continuously exchange and collect information to provide innovative transportation services; for example, traffic management, navigation, autonomous driving, and the generation......
A construction of a conformal Chebyshev chaotic map based authentication protocol for healthcare telemedicine servicesAbstract The outbreak of coronavirus has caused widespread global havoc, and the implementation of lockdown to contain the spread of the virus has caused increased levels of online healthcare services. Upgraded network technology gives birth to a new interface “telecare medicine information systems” in short TMIS. In this system, a user from a remote area and a serv... ...
Complex & Intelligent Systems - - 2021
Big data analytics and knowledge discovery for urban computing and intelligenceAbstract It is anticipated that during the next 3 decades, approximately two-thirds of the world’s population would live in urban regions. This represents a significant movement towards urbanisation on the part of the world’s population. Thus, urban planners need effective methods for regulating both the use of land and the management of infrastructure. The accessib... ...
Complex & Intelligent Systems - Tập 10 Số 1 - Trang 1-2 - 2024
Multi-objective multi-criteria evolutionary algorithm for multi-objective multi-task optimization
Complex & Intelligent Systems - Tập 9 - Trang 1211-1228 - 2022
Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problem (MO-MTOP) using evolutionary computation. However, most existing methods tend to directly treat the multiple multi-objective tasks as different problems and optimize them by different populations, which face the difficulty in designing good knowledge transferring......
Octonion-based transform moments for innovative stereo image classification with deep learning
Complex & Intelligent Systems - - Trang 1-19 - 2024
Recent advances in imaging technologies have led to a significant increase in the adoption of stereoscopic images. However, despite this proliferation, in-depth research into the complex analysis of the visual content of these stereoscopic images is still relatively rare. The advent of stereoscopic imaging has brought a new dimension to visual content. These images offer a higher level of visual d......
Intelligent navigation for the cruise phase of solar system boundary exploration based on Q-learning EKF
Complex & Intelligent Systems - - Trang 1-20 - 2023
With the continuous advancement of deep space exploration missions, the solar system boundary exploration mission is established as one of the China's most important deep space scientific exploration missions. The mission of the solar system boundary exploration has many challenges such as ultra-remote detection distance, ultra-long operation time, and ultra-long communication delay. Therefore, th......
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