[PDF] An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain - eBooks Review

An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain


An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain
DOWNLOAD

Download An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain


An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain
DOWNLOAD
Author : Elyas Rashno
language : en
Publisher: Infinite Study
Release Date :

An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain written by Elyas Rashno and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this work, a new clustering algorithm is proposed based on neutrosophic set (NS) theory. The main contribution is to use NS to handle boundary and outlier points as challenging points of clustering methods.



An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain


An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain
DOWNLOAD
Author : Elyas Rashnoa
language : en
Publisher: Infinite Study
Release Date :

An Effective Clustering Method Based On Data Indeterminacy In Neutrosophic Set Domain written by Elyas Rashnoa and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this work, a new clustering algorithm is proposed based on neutrosophic set (NS) theory. The main contribution is to use NS to handle boundary and outlier points as challenging points of clustering methods. In the first step, a new de nition of data indeterminacy (indeterminacy set) is proposed in NS domain based on density properties of data.



Neutrosophic Clustering Algorithm Based On Sparse Regular Term Constraint


Neutrosophic Clustering Algorithm Based On Sparse Regular Term Constraint
DOWNLOAD
Author : Dan Zhang
language : en
Publisher: Infinite Study
Release Date :

Neutrosophic Clustering Algorithm Based On Sparse Regular Term Constraint written by Dan Zhang and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Clustering algorithm is one of the important research topics in the field of machine learning. Neutrosophic clustering is the generalization of fuzzy clustering and has been applied to many fields. this paper presents a new neutrosophic clustering algorithm with the help of regularization. Firstly, the regularization term is introduced into the FC-PFS algorithm to generate sparsity, which can reduce the complexity of the algorithm on large data sets. Secondly, we propose a method to simplify the process of determining regularization parameters. Finally, experiments show that the clustering results of this algorithm on artificial data sets and real data sets are mostly better than other clustering algorithms. Our clustering algorithm is effective in most cases.



International Journal Of Neutrosophic Science Ijns Volume 12 2020


International Journal Of Neutrosophic Science Ijns Volume 12 2020
DOWNLOAD
Author : Broumi Said
language : en
Publisher: Infinite Study
Release Date :

International Journal Of Neutrosophic Science Ijns Volume 12 2020 written by Broumi Said and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


International Journal of Neutrosophic Science (IJNS) is a peer-review journal publishing high quality experimental and theoretical research in all areas of Neutrosophic and its Applications. Papers concern with neutrosophic logic and mathematical structures in the neutrosophic setting. Besides providing emphasis on topics like artificial intelligence, pattern recognition, image processing, robotics, decision making, data analysis, data mining, applications of neutrosophic mathematical theories contributions to economics, finance, management, industries, electronics, and communications are promoted.



Geometric Operators Based On Linguistic Interval Valued Intuitionistic Neutrosophic Fuzzy Number And Their Application In Decision Making


Geometric Operators Based On Linguistic Interval Valued Intuitionistic Neutrosophic Fuzzy Number And Their Application In Decision Making
DOWNLOAD
Author : Fahmi Aliya
language : en
Publisher: Infinite Study
Release Date :

Geometric Operators Based On Linguistic Interval Valued Intuitionistic Neutrosophic Fuzzy Number And Their Application In Decision Making written by Fahmi Aliya and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The paper aims to give some new kinds of operational laws named as neutrality addition and scalar multiplication for the pairs of linguistic interval-valued intuitionistic neutrosophic fuzzy number. The main idea behind these operations is to include the linguistic interval-valued intuitionistic neutrosophic fuzzy number of the decision-maker and score function. We define the linguistic interval-valued intuitionistic neutrosophic fuzzy number and operational laws. We introduce the three geometric operators including, linguistic interval-valued intuitionistic neutrosophic fuzzy weighted geometric operator, linguistic interval-valued intuitionistic neutrosophic fuzzy ordered weighted geometric operator and linguistic interval-valued intuitionistic neutrosophic fuzzy weighted hybrid geometric operator.



Neutrosophic Sets And Systems Vol 70 2024


Neutrosophic Sets And Systems Vol 70 2024
DOWNLOAD
Author : Florentin Smarandache
language : en
Publisher: Infinite Study
Release Date : 2024-08-01

Neutrosophic Sets And Systems Vol 70 2024 written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Mathematics categories.


“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc. Neutrosophy is a new branch of philosophy that studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. This theory considers every notion or idea together with its opposite or negation and with their spectrum of neutralities in between them (i.e. notions or ideas supporting neither nor ). The and ideas together are referred to as . Neutrosophy is a generalization of Hegel's dialectics (the last one is based on and only). According to this theory every idea tends to be neutralized and balanced by and ideas - as a state of equilibrium. In a classical way , , are disjoint two by two. But, since in many cases the borders between notions are vague, imprecise, Sorites, it is possible that , , (and of course) have common parts two by two, or even all three of them as well. Neutrosophic Set and Neutrosophic Logic are generalizations of the fuzzy set and respectively fuzzy logic (especially of intuitionistic fuzzy set and respectively intuitionistic fuzzy logic). In neutrosophic logic a proposition has a degree of truth (T), a degree of indeterminacy (I), and a degree of falsity (F), where T, I, F are standard or non-standard subsets of ]-0, 1+[. Neutrosophic Probability is a generalization of the classical probability and imprecise probability. Neutrosophic Statistics is a generalization of the classical statistics.



Study Of Two Kinds Of Quasi Ag Neutrosophic Extended Triplet Loops


Study Of Two Kinds Of Quasi Ag Neutrosophic Extended Triplet Loops
DOWNLOAD
Author : Xiaogang An
language : en
Publisher: Infinite Study
Release Date :

Study Of Two Kinds Of Quasi Ag Neutrosophic Extended Triplet Loops written by Xiaogang An and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Abel-Grassmann’s groupoid and neutrosophic extended triplet loop are two important algebraic structures that describe two kinds of generalized symmetries. In this paper, we investigate quasi AG-neutrosophic extended triplet loop, which is a fusion structure of the two kinds of algebraic structures mentioned above.



Applications Of Neutrosophic Sets In Medical Image Denoising And Segmentation


Applications Of Neutrosophic Sets In Medical Image Denoising And Segmentation
DOWNLOAD
Author : DEEPIKA KOUNDAL
language : en
Publisher: Infinite Study
Release Date :

Applications Of Neutrosophic Sets In Medical Image Denoising And Segmentation written by DEEPIKA KOUNDAL and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


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.



Recent Advances In Computer Based Systems Processes And Applications


Recent Advances In Computer Based Systems Processes And Applications
DOWNLOAD
Author : Anupama Namburu
language : en
Publisher: CRC Press
Release Date : 2020-06-14

Recent Advances In Computer Based Systems Processes And Applications written by Anupama Namburu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-14 with Computers categories.


This was the first conference organized by the school of Computer Science Engineering in VIT-AP University campus with the cumulative efforts of all the faculty members. The proceedings discusses recent advancements and novel ideas in areas of interest. It covers topics such as advances in computer based systems, processes and applications



Fluid Segmentation In Neutrosophic Domain


Fluid Segmentation In Neutrosophic Domain
DOWNLOAD
Author : Elyas Rashno
language : un
Publisher: Infinite Study
Release Date :

Fluid Segmentation In Neutrosophic Domain written by Elyas Rashno and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Optical coherence tomography (OCT) as retina imaging technology is currently used by ophthalmologist as a non-invasive and non-contact method for diagnosis of agerelated degeneration (AMD) and diabetic macular edema (DME) diseases. Fluid regions in OCT images reveal the main signs of AMD and DME. In this paper, an efficient and fast clustering in neutrosophic (NS) domain referred as neutrosophic C-means is adapted for fluid segmentation. For this task, a NCM cost function in NS domain is adapted for fluid segmentation and then optimized by gradient descend methods which leads to binary segmentation of OCT Bscans to fluid and tissue regions. The proposed method is evaluated in OCT datasets of subjects with DME abnormalities. Results showed that the proposed method outperforms existing fluid segmentation methods by 6% in dice coefficient and sensitivity criteria.