A review of fuzzy AHP methods for decision-making with subjective judgements
Abstract Analytic Hierarchy Process (AHP) is a broadly applied multi-criteria decision-
making method to determine the weights of criteria and priorities of alternatives in a …
making method to determine the weights of criteria and priorities of alternatives in a …
Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges
Chronic diseases are becoming more widespread. Treatment and monitoring of these
diseases require going to hospitals frequently, which increases the burdens of hospitals and …
diseases require going to hospitals frequently, which increases the burdens of hospitals and …
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
[HTML][HTML] A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease …
The disasters caused by epidemic outbreaks is different from other disasters due to two
specific features: their long-term disruption and their increasing propagation. Not controlling …
specific features: their long-term disruption and their increasing propagation. Not controlling …
A healthcare monitoring system for the diagnosis of heart disease in the IoMT cloud environment using MSSO-ANFIS
The IoT has applications in many areas such as manufacturing, healthcare, and agriculture,
to name a few. Recently, wearable devices have become popular with wide applications in …
to name a few. Recently, wearable devices have become popular with wide applications in …
A novel intelligent medical decision support model based on soft computing and IoT
M Abdel-Basset, G Manogaran… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) has gain the importance with the growing applications in the fields of
ubiquitous and context-aware computing. In IoT, anything can be a portion of it, whether it is …
ubiquitous and context-aware computing. In IoT, anything can be a portion of it, whether it is …
Real-time cloud-based patient-centric monitoring using computational health systems
In many sectors, including healthcare services, Internet of Things (IoT) systems are growing
rapidly, providing promising technological, economical, and social potential. Healthcare …
rapidly, providing promising technological, economical, and social potential. Healthcare …
ZBWM: The Z-number extension of Best Worst Method and its application for supplier development
Abstract Best Worst Method (BWM) has recently been proposed as a method for Multi
Criteria Decision Making (MCDM). Studies show that BWM compared with other methods …
Criteria Decision Making (MCDM). Studies show that BWM compared with other methods …
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
M Abdel-Basset, A Gamal, G Manogaran… - Multimedia Tools and …, 2020 - Springer
In a developed society, people have more concerned about their health. Thus, improvement
of medical field application has been one of the greatest active study areas. Medical …
of medical field application has been one of the greatest active study areas. Medical …
Application of decision making and fuzzy sets theory to evaluate the healthcare and medical problems: a review of three decades of research with recent …
A Mardani, RE Hooker, S Ozkul, S Yifan… - Expert Systems with …, 2019 - Elsevier
Decision making techniques have been widely used in healthcare and medical industry.
This study systematically reviews the conventional and fuzzy decision-making techniques …
This study systematically reviews the conventional and fuzzy decision-making techniques …