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Materias / palabras clave: Technology: Engineering (General). Civil engineering (General); Science: Mathematics

Materias / palabras clave: fuzzy information, soft computing, fuzzy engineering, fuzzy operations research, artificial intelligence, fuzzy sets and systems; Technology: Engineering (General). Civil engineering (General); Science: Mathematics

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...

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 ...

ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computatio...

Lifting is a common task. This work typically requires muscle strength, especially the back muscles. However, this work carries a risk of back injury if performed incorrectly or inappropriately. Using a back muscle injur...

Interpretable data classifiers play a significant role in providing transparency in the decision-making process by ensuring accountability and auditability, enhancing model understanding, and extracting new information t...

Abstract Accurate differentiation of pulmonary emphysema from chest X-rays remains challenging due to imbalanced data, image noise, and the limitations of traditional deep networks in managing diagnostic uncertainty. In ...

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...

This study focuses on the level of patient satisfaction at the Rumbai Maternity Clinic. Quality of service is the main key that influences patient trust and satisfaction with this health facility. Therefore, the purpose...

In recent years, fuzzy soft topology has emerged as a powerful approach that contributes significantly to advancing practical applications in uncertain environments, especially in information systems design, predictive m...

Help desks play a crucial function in the information technology department by acting as the main point of solution to customers’ issues. The speed and efficiency of agent-centric help desks are diminished by the i...

Rapid urbanization and increasing energy demand have intensified environmental pressures, particularly in the transportation sector, which remains one of the largest contributors to greenhouse gas emissions. Although ele...

Power transformers (PT) are critical assets in power systems. Electric utilities and power companies that manage PT fleets require a large amount of information to inform decision-making processes related to acquisition,...

La mayor parte de las decisiones referidas a turismo se toman en un contexto de incertidumbre, y en muchas oportunidades no se conocen con certeza las consecuencias de la elección, ni se posee toda la información. Por ...

Abstract This study reveals the impact of digital maturities on customer relationship management (CRM) performance in automotive industries. A fuzzy comprehensive evaluation (FCE) approach is employed to evaluate CRM per...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

Abstract Background In Swaziland, as in many high HIV/TB burden settings, there is not information available regarding the household location of TB cases for identifying areas of increased TB incidence, limiting the deve...

Background and Objectives: Efficient public transportation systems are fundamental to enhancing tourist satisfaction and achieving sustainable urban development. This study aims to identify and prioritize suitable areas ...

The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown. This paper deals with classif...

Materias / palabras clave: Computer science

E-mail texts are hard to process due to their short length. In this article, the use of a diffuse neural network that is capable of identifying the most relevant terms in a set of e-mails is proposed. The associations be...

Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disci...

Este trabajo consta de tres partes, que en principio parecen ser bastante diferentes, pero tienen como hilo conductor la toma de decisiones que debe realizar una persona, un grupo de personas, un equipo, etc. Cada una ...