Addressing a decision problem through a bipolar Pythagorean fuzzy approach: A novel methodology applied to digital marketing
V Kuppusamy, M Shanmugasundaram… - Heliyon, 2024 - cell.com
Decision-making in real-world scenarios faces uncertainty. Fuzzy theory has been a means
to represent such uncertainty. In this study, we propose an approach that incorporates …
to represent such uncertainty. In this study, we propose an approach that incorporates …
Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics
This study conducts a comprehensive analysis on the usage of the blockchain technology in
clinical trials, based on a curated corpus of 107 scientific articles from the year 2016 through …
clinical trials, based on a curated corpus of 107 scientific articles from the year 2016 through …
Optimizing the economic order quantity using fuzzy theory and machine learning applied to a pharmaceutical framework
K Kalaichelvan, S Ramalingam, PB Dhandapani… - Mathematics, 2024 - mdpi.com
In this article, we present a novel methodology for inventory management in the
pharmaceutical industry, considering the nature of its supply chain. Traditional inventory …
pharmaceutical industry, considering the nature of its supply chain. Traditional inventory …
[HTML][HTML] Efficiency, optimality, and selection in a rigid actuation system with matching capabilities for an assistive robotic exoskeleton
Selecting the right actuator for a portable exoskeleton involves a comprehensive evaluation
of various design characteristics. In this study, we introduce a methodology for actuator …
of various design characteristics. In this study, we introduce a methodology for actuator …
Internet of Things Based Fuzzy Systems for Medical Applications: A Review
AKY Abdalla, TY Abdalla, AM Chyaid - IEEE Access, 2024 - ieeexplore.ieee.org
The integration of IoT with fuzzy logic provides innovative solutions for various medical
applications. IoT enables seamless connectivity between medical devices, real-time …
applications. IoT enables seamless connectivity between medical devices, real-time …
Fuzzy-Enhanced Secure Messaging Framework for Smart Healthcare System
The healthcare industry is exponentially growing its dependence on smart wearables and
remote devices for efficient treatment and diagnosis. These smart devices benefit the …
remote devices for efficient treatment and diagnosis. These smart devices benefit the …
Optimized design and analysis of cable-based parallel manipulators for enhanced subsea operations
The subsea exploration of complex and challenging areas has increased the need for
advanced robotic frameworks, such as cable-based parallel manipulators (CPMs). Known …
advanced robotic frameworks, such as cable-based parallel manipulators (CPMs). Known …
Modeling Residential Energy Consumption Patterns with Machine Learning Methods Based on a Case Study in Brazil
Developing efficient energy conservation and strategies is relevant in the context of climate
change and rising energy demands. The objective of this study is to model and predict the …
change and rising energy demands. The objective of this study is to model and predict the …
Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
Cardiovascular disease (CVDs) is a rapidly rising global concern due to unhealthy diets,
lack of physical activity, and other factors. According to the World Health Organization …
lack of physical activity, and other factors. According to the World Health Organization …
Predicting COVID-19 mortality using statistical, machine learning and fuzzy classification methods: insights from a Portuguese cohort study.
The prediction of mortality in hospitalized COVID-19 patients using non-invasive and easily
accessible measurements remains essential for improving patient outcomes, particularly in …
accessible measurements remains essential for improving patient outcomes, particularly in …