Optimal genetic design of type-1 and interval type-2 fuzzy systems for blood pressure level classification
The use of artificial intelligence techniques such as fuzzy logic, neural networks and
evolutionary computation is currently very important in medicine to be able to provide an …
evolutionary computation is currently very important in medicine to be able to provide an …
Optimal design of interval type-2 fuzzy heart rate level classification systems using the bird swarm algorithm
In this paper, the optimal designs of type-1 and interval type-2 fuzzy systems for the
classification of the heart rate level are presented. The contribution of this work is a …
classification of the heart rate level are presented. The contribution of this work is a …
Fuzzy expert systems for prediction of ICU admission in patients with COVID-19
The pandemic COVID-19 disease has had a dramatic impact on almost all countries around
the world so that many hospitals have been overwhelmed with COVID-19 cases. As medical …
the world so that many hospitals have been overwhelmed with COVID-19 cases. As medical …
A new interval-valued hesitant fuzzy pairwise comparison–compromise solution methodology: an application to cross-docking location planning
SM Mousavi - Neural Computing and Applications, 2019 - Springer
Cross-docking location-planning problem is recognized as one of the significant issues in
logistics management. To address the issue, group decision-making methods are known as …
logistics management. To address the issue, group decision-making methods are known as …
A new validity index for fuzzy-possibilistic c-means clustering
In some complicated datasets, due to the presence of noisy data points and outliers, cluster
validity indices can give conflicting results in determining the optimal number of clusters …
validity indices can give conflicting results in determining the optimal number of clusters …
Fuzzy Gilmore and Gomory algorithm: Application in robotic flow shops with the effects of job-dependent transportation and set-ups
This paper addresses the scheduling of robotic cells with job-dependent transportation and
set-up effects with fuzzy methodology. Since transportation and set-up times are a large …
set-up effects with fuzzy methodology. Since transportation and set-up times are a large …
A survey on data mining and machine learning techniques for diagnosing hepatitis disease
With the advancement of technology in recent years, different new techniques are being
used for classification and prediction of different complex diseases, as well as to analyse …
used for classification and prediction of different complex diseases, as well as to analyse …
A type-2 fuzzy hybrid expert system for commercial burglary
In this paper, an interval type-2 fuzzy hybrid expert system is proposed for commercial
burglary. This method is the combination of Sugeno and Mamdani inference system. After …
burglary. This method is the combination of Sugeno and Mamdani inference system. After …
Introduction to neuro fuzzy hybrid model
Today, the use of intelligent techniques in medicine is becoming more common, and just to
mention a few: neural networks, fuzzy logic and evolutionary computation Yang et al. in Eng …
mention a few: neural networks, fuzzy logic and evolutionary computation Yang et al. in Eng …
Robust learning to rank models and their biomedical applications
S Sotudian - 2023 - search.proquest.com
There exist many real-world applications such as recommendation systems, document
retrieval, and computational biology where the correct ordering of instances is of equal or …
retrieval, and computational biology where the correct ordering of instances is of equal or …