Soft Computing - A Fusion of Foundations, Methodologies and Applications

Cross-efficiency (CE) evaluation is an extension of the data envelopment analysis approach that allows decision making units (DMUs) to assess their peers by means of their own appreciation weights. As a result, each DMU is presented with a vector ...

In fields such as aerospace and nuclear materials, there is no large amount of sample data available for reference due to cost and experimental environment; probabilistic theory based on large sample data is not suitable for assessing the ...

The deep learning architectures' activation functions play a significant role in processing the data entering the network to provide the most appropriate output. Activation functions (AF) are created by taking into consideration aspects like ...

Ensemble methods are advanced learning algorithm proposed for generating base classifiers and accumulating them all together to derive a new classifier which is expected to perform better than the constituent classifier. This study proposes a ...

Dual-resource-constrained scheduling problems (DRCSP) have been hotly debated during the last two decades. DRCSPs focus on the causes and consequences of problems arising from improper simultaneous planning of human resources and machines in ...

The development of drone and computer vision technologies has enabled automated landscape image analysis, unlocking new feature extraction capabilities. This paper presents an integrated framework leveraging aerial drone data and machine learning ...

In the process of facial expression recognition, face detection is the prerequisite, image preprocessing is the foundation, facial expression feature extraction is the key, and facial expression classification is the target. Effective feature ...

Ovarian cancer is one of the most common types of cancer in women. Correct differentiation between benign and malignant ovarian tumors is of immense importance in medical fields. In this paper, we introduce group penalized logistic regressions to ...

The environmental perception system is the foundation of unmanned driving systems and also the fundamental guarantee of the safety and intelligence of unmanned vehicles. The obstacle hazard identification technology is the core of the environment ...

Geoinformation from satellite images is used for a variety of earth science applications. Because of the limitations of optics and sensor technology and the high cost of Earth observation satellites, spatial and spectral resolution are not always ...

Proper scheduling of jobs is essential for modern production systems to work effectively. The hybrid flow shop scheduling problem is a scheduling problem with many applications in the industry. The problem has also attracted much attention from ...

Nowadays, attention to the goals of cost, quality, time, and risk is essential in every project. In this regard, the beneficiaries of each project seek to reduce the cost, time, and risk and increase the quality of the project simultaneously. As ...

In simple assembly line balancing problems, it is assumed that the resources required to perform the tasks are available at the relevant station for task assignment. However, each task may need different resource types depending on the difficulty, ...

With the advancement of artificial intelligence technologies, mobile agents are becoming more commonly used in a variety of industries that require high reliability from their control systems. In an uncertain environment, if the mobile agent ...

With the proliferation in the internet of things (IoT), a variety of delay sensitive applications have emerged over the past few years. Fog computing acts a viable computing paradigm for meeting the requirements of IoT applications. However, ...

Local search methods play an important role in several approaches to solving complex optimization problems. However, black-box local search methods for continuous optimization problems tend to be excessively time-consuming and their performance ...

This paper addresses an integrated material flow optimization problem of cross-docking satellites, in which the transportation problem, the truck-door assignment problem with material placement plans, and the two-dimensional truck loading problem ...

In this paper, we made an investigation about an uncertain interval supply chain network model with risk and visibility (UISCNMwRV). We consider the available budget for supply chain visibility, production capacity, cost of reducing supply risk, ...

The majority of countries use solar energy systems that are composed of several solar plants to generate electricity. It produces direct current (DC) electricity by converting sunlight. Power is produced using stationary solar panels. There is a ...

A unique hybrid meta-heuristic combining the salp swarm algorithm and the sine cosine algorithm (SSCA) is established in this study to improve convergence speed while outperforming existing conventional algorithms. The sine cosine position ...

Nowadays, the issue of fluctuations in the price of digital Bitcoin currency has a striking impact on the profit or loss of people, international relations, and trade. Accordingly, designing a model that can take into account the various ...

This paper considers the problem of how to construct the optimal multi-period portfolio for investors with loss aversion in fuzzy environment. Firstly, we regard the return rates of the risky assets as fuzzy numbers and use the value function in ...

Maintenance strategy selection is an important step in maintenance management, which is the basis for implementing maintenance optimization and formulating specific maintenance schemes. This paper takes the meta-action unit (MU) as the research ...

Renewable energy sources are seen as a sustainable solution to the problem of global energy security. Among the renewable energy sources, wave energy has great prospects for development in a few countries, including South Africa. However, South ...

The application of the double hierarchy hesitant fuzzy linguistic set (DHHFLTS) is frequently utilized for assessing and evaluating ecological environmental governance, addressing the complexities and uncertainties inherent in environmental ...

Import and export commerce is a significant strategy for stimulating national economic growth and realizing foreign exchange. Based on the above, this research work dives into the delicate link between changes in China's peripheral diplomatic ...

It is found that, chronic kidney disease (CKD) is prevalence worldwide. Quality of life (QoL) in terms of health became an essential measure for patients with CKD. This paper uses the real-time dataset of CKD patients collected from reputed ...

Economic progress has been founded on environmental pressure by generating all types of environmental harm, such as an increase in greenhouse gases in the atmosphere and significant climate change, which has forced people to reflect. Building a ...

The score profiles could be used to measure learners’ skills proficiency via cognitive diagnosis models (CDMs) for predicting their performance in the future examination. The prediction results could provide important decision-making supports for ...

It is an inevitable trend of the development of world first-class universities to promote the construction of a powerful country in higher education and to build and own a number of world first-class universities around the world. Under the actual ...