Generalization of Fuzzy C-Means Based on Neutrosophic Logic

Generalization of Fuzzy C-Means Based on Neutrosophic Logic PDF Author: Aboul Ella HASSANIEN
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

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Book Description
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.

Generalization of Fuzzy C-Means Based on Neutrosophic Logic

Generalization of Fuzzy C-Means Based on Neutrosophic Logic PDF Author: Aboul Ella HASSANIEN
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

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Book Description
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.

A hybrid Fuzzy C-Means and Neutrosophic for jaw lesions segmentation

A hybrid Fuzzy C-Means and Neutrosophic for jaw lesions segmentation PDF Author: Mutasem K. Alsmadi
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 10

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Book Description
It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images; therefore, accurate and fully automatic jaw lesions image segmentation is a challenging and essential task. The aim of this work was to develop a novel, fully automatic and effective method for jaw lesions in panoramic X-ray image segmentation.

Interval Neutrosophic Sets and Logic: Theory and Applications in Computing

Interval Neutrosophic Sets and Logic: Theory and Applications in Computing PDF Author: Haibin Wang
Publisher: Infinite Study
ISBN: 1931233942
Category : Mathematics
Languages : en
Pages : 99

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Book Description
This book presents the advancements and applications of neutrosophics, which are generalizations of fuzzy logic, fuzzy set, and imprecise probability. The neutrosophic logic, neutrosophic set, neutrosophic probability, and neutrosophic statistics are increasingly used in engineering applications (especially for software and information fusion), medicine, military, cybernetics, physics.In the last chapter a soft semantic Web Services agent framework is proposed to facilitate the registration and discovery of high quality semantic Web Services agent. The intelligent inference engine module of soft semantic Web Services agent is implemented using interval neutrosophic logic.

NEUTROSOPHIC SET – A GENERALIZATION OF THE INTUITIONISTIC FUZZY SET

NEUTROSOPHIC SET – A GENERALIZATION OF THE INTUITIONISTIC FUZZY SET PDF Author: Florentin SMARANDACHE
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 10

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Book Description
In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.

Neutrosophic Set - A Generalization of The Intuitionistic Fuzzy Set

Neutrosophic Set - A Generalization of The Intuitionistic Fuzzy Set PDF Author: Florentin Smarandache
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 10

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Book Description
In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.

Big Data in Psychiatry and Neurology

Big Data in Psychiatry and Neurology PDF Author: Ahmed Moustafa
Publisher: Academic Press
ISBN: 0128230029
Category : Medical
Languages : en
Pages : 386

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Book Description
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

Neutrosophic Hough Transform

Neutrosophic Hough Transform PDF Author: Ümit Budak
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

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Book Description
Hough transform (HT) is a useful tool for both pattern recognition and image processing communities. In the view of pattern recognition, it can extract unique features for description of various shapes, such as lines, circles, ellipses, and etc.

Soft Computing for Data Analytics, Classification Model, and Control

Soft Computing for Data Analytics, Classification Model, and Control PDF Author: Deepak Gupta
Publisher: Springer Nature
ISBN: 3030920267
Category : Technology & Engineering
Languages : en
Pages : 165

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Book Description
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.

NCM: Neutrosophic c-means clustering algorithm

NCM: Neutrosophic c-means clustering algorithm PDF Author: Yanhui Guo
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 15

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Book Description
In this paper, a new clustering algorithm, neutrosophic c-means (NCM), is introduced for uncertain data clustering, which is inspired from fuzzy c-means and the neutrosophic set framework.

Neutrosophic Multi-Criteria Decision Making

Neutrosophic Multi-Criteria Decision Making PDF Author: Florentin Smarandache
Publisher: MDPI
ISBN: 3038972886
Category : Mathematics
Languages : en
Pages : 207

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Book Description
This book is a printed edition of the Special Issue "Neutrosophic Multi-Criteria Decision Making" that was published in Axioms