Generalization Of Fuzzy C Means Based On Neutrosophic Logic
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Generalization of Fuzzy C Means Based on Neutrosophic Logic
Author | : Aboul Ella HASSANIEN,Sameh H. BASHA,Areeg S. ABDALLA |
Publsiher | : Infinite Study |
Total Pages | : 12 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9182736450XXX |
Download Generalization of Fuzzy C Means Based on Neutrosophic Logic Book in PDF, Epub and Kindle
This article presents a New Neutrosophic C-Means (NNCMs) method for clustering. It uses the neutrosophic logic (NL), to generalize the Fuzzy C-Means (FCM) clustering system.
Big Data in Psychiatry and Neurology
Author | : Ahmed Moustafa |
Publsiher | : Academic Press |
Total Pages | : 386 |
Release | : 2021-06-11 |
Genre | : Medical |
ISBN | : 9780128230022 |
Download Big Data in Psychiatry and Neurology Book in PDF, Epub and Kindle
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics
Soft Computing for Data Analytics Classification Model and Control
Author | : Deepak Gupta,Aditya Khamparia,Ashish Khanna,Oscar Castillo |
Publsiher | : Springer Nature |
Total Pages | : 165 |
Release | : 2022-01-30 |
Genre | : Technology & Engineering |
ISBN | : 9783030920265 |
Download Soft Computing for Data Analytics Classification Model and Control Book in PDF, Epub and Kindle
This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.
Neutrosophic Logic A Generalization of the Intuitionistic Fuzzy Logic
Author | : Florentin Smarandache |
Publsiher | : Infinite Study |
Total Pages | : 7 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9182736450XXX |
Download Neutrosophic Logic A Generalization of the Intuitionistic Fuzzy Logic Book in PDF, Epub and Kindle
In this paper one generalizes the intuitionistic fuzzy logic (IFL) and other logics to neutrosophic logic (NL). The differences between IFL and NL (and the corresponding intuitionistic fuzzy set and neutrosophic set) are pointed out.
New Trends in Neutrosophic Theory and Applications
Author | : Florentin Smarandache (editor),Surapati Pramanik (editor) |
Publsiher | : Infinite Study |
Total Pages | : 424 |
Release | : 2016-11-05 |
Genre | : Electronic Book |
ISBN | : 9781599734989 |
Download New Trends in Neutrosophic Theory and Applications Book in PDF, Epub and Kindle
Neutrosophic theory and applications have been expanding in all directions at an astonishing rate especially after the introduction the journal entitled “Neutrosophic Sets and Systems”. New theories, techniques, algorithms have been rapidly developed. One of the most striking trends in the neutrosophic theory is the hybridization of neutrosophic set with other potential sets such as rough set, bipolar set, soft set, hesitant fuzzy set, etc. The different hybrid structure such as rough neutrosophic set, single valued neutrosophic rough set, bipolar neutrosophic set, single valued neutrosophic hesitant fuzzy set, etc. are proposed in the literature in a short period of time. Neutrosophic set has been a very important tool in all various areas of data mining, decision making, e-learning, engineering, medicine, social science, and some more. The book “New Trends in Neutrosophic Theories and Applications” focuses on theories, methods, algorithms for decision making and also applications involving neutrosophic information. Some topics deal with data mining, decision making, e-learning, graph theory, medical diagnosis, probability theory, topology, and some more. 30 papers by 39 authors and coauthors.
Applications of Neutrosophic Sets in Medical Image Denoising and Segmentation
Author | : DEEPIKA KOUNDAL ,SAVITA GUPTA,SUKHWINDER SINGH |
Publsiher | : Infinite Study |
Total Pages | : 19 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9182736450XXX |
Download Applications of Neutrosophic Sets in Medical Image Denoising and Segmentation Book in PDF, Epub and Kindle
In medical science, diagnosis and prognosis is one of the most difficult and challenging task because of restricted subjectivity of the experts and presence of fuzziness in medical images. In observing the severity of several diseases, different professional experts may result in wrong diagnosis. In order to perform diagnosis intuitively in the medical images, different image processing methods have been explored in terms of neutrosophic theory to interpret the inherent uncertainty, ambiguity and vagueness. This paper demonstrates the use of neutrosophic theory in medical image denoising and segmentation where the performance is observed to be much better.
Informational Paradigm management of uncertainty and theoretical formalisms in the clustering framework A review
Author | : Pierpaolo D’Urso |
Publsiher | : Infinite Study |
Total Pages | : 33 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9182736450XXX |
Download Informational Paradigm management of uncertainty and theoretical formalisms in the clustering framework A review Book in PDF, Epub and Kindle
Fifty years have gone by since the publication of the first paper on clustering based on fuzzy sets theory.
Neutrosophic Multi Criteria Decision Making
Author | : Florentin Smarandache,Jun Ye,Yanhui Guo |
Publsiher | : MDPI |
Total Pages | : 207 |
Release | : 2018-10-12 |
Genre | : Artificial intelligence |
ISBN | : 9783038972884 |
Download Neutrosophic Multi Criteria Decision Making Book in PDF, Epub and Kindle
This book is a printed edition of the Special Issue "Neutrosophic Multi-Criteria Decision Making" that was published in Axioms