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The digital poultry sector faces challenges in maintaining stable incubation temperatures. Comparative evaluation between Sugeno and Tsukamoto methods has not been conducted in real-world IoT systems. This research is es...

Abstract Accurate estimation of sideslip angle and vehicle velocity is crucial for effective control of distributed drive electric vehicles. However, as these states are not directly measured, Kalman-based approaches uti...

Mobility-as-a-Service (MaaS) orchestration faces critical challenges in managing the Service Quality Index (SQI), Fleet Utilization Ratio (FUR), and Dynamic Pricing Index (DPI) under uncertain and time-varying urban dema...

Background and purpose: The clinical utility of radiomics in head-and-neck (H&N) cancer is hindered by poor reliability caused by delineation uncertainties from the use of binary mask (BinMask). This study introduced a f...

Every job in a coffee shop has a salary. Salary is a form of recognition or imbalance for the results achieved. Salary is often also called wages, which is an imbalance in the services provided regularly to employees. Fu...

In the paper there is proposed a simple mathematical model following on from the considerations included in the theoretical papers concerning the evaluation of medical and other therapies on the ground of fuzzy sets base...

The selection of distribution center (DC) location is of paramount importance for production systems since an appropriate placement significantly influences transportation costs, delivery lead times, inventory management...

Introduction. Stator flow-oriented control is currently the most widely used system in industry or in previous research for improving the quality of mechanical power generated by permanent magnet synchronous motors (PMSM...

Abstract In the era of intelligent systems and data-driven technologies, making precise and reliable decisions under uncertainty has become increasingly vital. The primary aim of this study is to tackle decision making (...

Abstract Grid-connected renewable energy systems with high penetration rates exacerbate frequency fluctuations in microgrids, making traditional control methods ill-suited for random source-load variations. This paper pr...

Abstract Traditional evaluation methods struggle to handle the ambiguity and dynamism inherent in the quality of children’s art education, thereby limiting its scientific rigor and practical applicability. To address t...

This paper deals with the spatial prediction in Geostatistics. This paper depend on interpellation methods of spatial statistic (ordinary kriging technique) to combination with fuzzy logic under uncertainty for spatial d...

The object of research is the problem of rational distribution of limited resources between subsystems of a complex system that function independently. The relevance of the work is determined by the fundamental features ...

Rice production faces major challenges, notably unpredictable weather and pest attacks. The duration of sun drying depends on the climate and weather: if the weather is clear and the sun shines fully throughout the day, ...

Efficient current control in boost converters is critical for electric vehicle (EV) battery charging applications, where dynamic operating conditions challenge conventional control strategies. This paper presents a novel...

IntroductionFlood risk assessment has become increasingly important in regions vulnerable to climate-induced disasters. This study addresses the need for a robust decision-support framework by proposing a hybrid multi-cr...

The Araceae plants are highly popular among plant enthusiasts worldwide. The Araceae family has more than 100 different types and thousands of species. Despite ever-evolving times, these plants have a high market value a...

Abstract The growing interest in the electric vehicles (EVs) has highlighted the significance of choosing appropriate battery technologies according to various competing and unpredictable norms. In the development of EV ...

In previous works, we proposed two methods for data clustering based on automatically discovered fuzzy predicates which were referred to as SOM-based Fuzzy Predicate Clustering (SFPC) [Meschino et al., Neurocomputing, 14...

Background: Hospitals are in the category of buildings that consume the most energy. Considering these characteristics of hospitals, energy efficiency becomes important. For this reason, healthcare professionals are seen...

Abstract Feature selection is a critical step in machine learning, as it helps minimize redundant features, thereby enhancing model performance and interpretability. In practice, partially labeled datasets are common. Wh...

The aim of this paper is to analyze the effects of exchange rate volatility on international trade flows by using two different approaches, the panel data analysis and fuzzy logic, and to compare the results. To a panel ...

This study presents a decision-making framework using the fuzzy AHP-TOPSIS model to evaluate innovative agroecological and sustainable intensification approaches for strategic Food Security and Nutrition (FSN) management...

IntroductionAs digital natives and intensive users of digital technologies, young people's digital literacy has become a critical determinant of their subjective wellbeing. Based on the COR theory, this study explores th...