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Neutrosophic classifier: An extension of fuzzy classifer

A.Q. Ansari, Ranjit Biswas, Swati Aggarwal
2013 Applied Soft Computing  
The proposed neutrosophic classifier employs neutrosophic logic for its working and is an extension of commonly used fuzzy classifier.  ...  This paper introduces an extension to fuzzy classifier: a neutrosophic classifier, which would utilize neutrosophic logic for its working.  ...  Neutrosophic classifier: an extension of fuzzy classifier A classifier is an algorithm that predicts the class label on the basis of the object descriptor.  ... 
doi:10.1016/j.asoc.2012.08.002 fatcat:g567qr6hanh3lootaowb7ebkpm

NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier

Yaman Akbulut, Abdulkadir Sengur, Yanhui Guo, Florentin Smarandache
2017 Symmetry  
In this paper, the NS memberships are adopted to improve the classification performance of the k-NN classifier. A new straightforward k-NN approach is proposed based on NS theory.  ...  It aims to determine the class label of an unknown sample by its k-nearest neighbors that are stored in a training set. The k-nearest neighbors are determined based on some distance functions.  ...  This approach can be seen as an extension of the previously-proposed fuzzy k-NN method by incorporating the falsity and indeterminacy sets.  ... 
doi:10.3390/sym9090179 fatcat:mozqkuspvfctlohrdz7c7u5e4e

An ensemble design of intrusion detection system for handling uncertainty using Neutrosophic Logic Classifier

B. Kavitha, Dr. S. Karthikeyan, P. Sheeba Maybell
2012 Knowledge-Based Systems  
In this paper we have introduced an emerging approach for intrusion detection system using Neutrosophic Logic Classifier which is an extension/combination of the fuzzy logic, intuitionistic logic, paraconsistent  ...  The Neutrosophic Logic Classifier generates the Neutrosophic rules to determine the intrusion in progress.  ...  NL was created by Florentin Smarandache (1995) and is an extension/combination of the fuzzy logic, intuitionistic logic [19] , paraconsistent logic, and the three-valued logics that use an indeterminate  ... 
doi:10.1016/j.knosys.2011.12.004 fatcat:wzerbsyst5ckzc3dr2snavov4u

COVID-X: Novel Health-Fog Framework Based on Neutrosophic Classifier for Confrontation Covid-19

Ibrahim Yasser, Abeer Twakol, A. A. Abd El-Khalek, Ahmed Samrah, A. A. Salama
2020 Zenodo  
Achieving an empirical of the proposed framework which mix between deep learning and Neutrosophic classifiers in the task of classifying COVID-19.  ...  In this paper, we present a novel Health-Fog framework universal system to automatically assist the early diagnosis, treatment, and preventive of people with COVID-19 in an efficient manner.  ...  Designing of Neutrosophic classification inference system using fuzzy methodology is based on the principles of Mamdani fuzzy inference method [25] .  ... 
doi:10.5281/zenodo.3951625 fatcat:bsjm5rd3nvcmdmhzzwakidewq4

Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets

Florentin Smarandache, Xiaohong Zhang, Mumtaz Ali
2019 Symmetry  
Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (<A>, <neutA>, <antiA>), where <A> is an entity (i.e. element, concept, idea, theory, logical proposition, etc.), <antiA  ...  > is the opposite of <A>, while <neutA> is the neutral (or indeterminate) between them, i.e., neither <A> nor <antiA> [...]  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym11020171 fatcat:be6tdw2oz5hu3gbfj3llcn4pgm

Neutrosophic Hierarchical Clustering Algoritms

Rıdvan Şahin
2015 Zenodo  
valued neutrosophic set (SVNS) is regarded as extension of intuitionistic fuzzy set (IFS).  ...  Then we extend the algorithm to classify an interval neutrosophic data.  ...  [5] proposed the concept of SVNS, which is an instance of neutrosophic set.  ... 
doi:10.5281/zenodo.22588 fatcat:zhvnqiqluzbslnawyscqsasdgu

Neutrosophic Hierarchical Clustering Algoritms

Rıdvan Şahin
2014 Zenodo  
valued neutrosophic set (SVNS) is regarded as extension of intuitionistic fuzzy set (IFS).  ...  Interval neutrosophic set (INS) is a generalization of interval valued intuitionistic fuzzy set (IVIFS), whose the membership and non-membership values of elements consist of fuzzy range, while single  ...  [5] proposed the concept of SVNS, which is an instance of neutrosophic set.  ... 
doi:10.5281/zenodo.571513 fatcat:22xepbl4szgzxgjd2wacxkxytm

INTRODUCTION TO NEUTROSOPHIC MEASURE, NEUTROSOPHIC INTEGRAL, AND NEUTROSOPHIC PROBABILITY

Florentin Smarandache
2018 Figshare  
We now introduce for the first time the notions of neutrosophic measure and neutrosophic integral. We develop the 1995 notion of neutrosophic probability and give many practical examples.  ...  Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research.  ...  Classification of Neutrosophic Probabilities. 1. There is an objective neutrosophic probability when the chances of all events, including the chance of identerminacy, can be computed objectively.  ... 
doi:10.6084/m9.figshare.6199022.v1 fatcat:f7vj2c6jnrauhdpfdbxswmq4nu

Introduction to Neutrosophic Measure, Neutrosophic Integral, and Neutrosophic Probability [article]

Florentin Smarandache
2013 arXiv   pre-print
In this paper, we introduce for the first time the notions of neutrosophic measure and neutrosophic integral, and we develop the 1995 notion of neutrosophic probability.  ...  It is possible to define the neutrosophic measure and consequently the neutrosophic integral and neutrosophic probability in many ways, because there are various types of indeterminacies, depending on  ...  Classification of Neutrosophic Probabilities. 1. There is an objective neutrosophic probability when the chances of all events, including the chance of identerminacy, can be computed objectively.  ... 
arXiv:1311.7139v1 fatcat:bsyrivzyzjbapothjj7ifr5vzu

Intelligent Neutrosophic Diagnostic System for Cardiotocography Data

Belal Amin, A. A. Salama, I. M. El-Henawy, Khaled Mahfouz, Mona G. Gafar, Mario Versaci
2021 Computational Intelligence and Neuroscience  
The proposed neutrosophic diagnostic system is an Interval Neutrosophic Rough Neural Network framework based on the backpropagation algorithm.  ...  Constructing good and efficient classifier via machine learning algorithms is necessary to help doctors in diagnosing the state of fetus heart rate.  ...  It was firstly presented in 1995 by Smarandache, as an extension of the fuzzy system [4] [5] [6] [7] . Fuzzy classifiers deal with uncertain data by degrees of truth.  ... 
doi:10.1155/2021/6656770 pmid:33628217 pmcid:PMC7895579 fatcat:bg3iw6wmkbgcnbgjx3o6zj47ne

Machine learning in Neutrosophic Environment: A Survey

Azeddine Elhassouny, Soufiane Idbrahim, Florentin Smarandache
2019 Zenodo  
We discuss also contributions and hybridization of machine learning algorithms with Single-valued Neutrosophic numbers (SVNs) in modeling imperfect information, and then their impacts on resolving reel  ...  In addition, we identify new trends for future research, then we introduce, for the first time, a taxonomy of Neutrosophic learning algorithms, clarifying what algorithms are already processed or not,  ...  ., Aggarwal, S. (2013) Neutrosophic classifier: An extension of fuzzy classifer [19] Applied Soft Computing, 13(1), 563-573 Zhang, M., Zhang, L., Cheng, H. D.  ... 
doi:10.5281/zenodo.3382515 fatcat:jwma7l7btndxlirchlp5sgcitm

A Unifying Field in Logics: Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics (fourth edition) [article]

Florentin Smarandache
2010 arXiv   pre-print
Neutrosophic Probability - a generalization of classical and imprecise probabilities - and Neutrosophic Statistics.  ...  In this book one makes an introduction to non-standard analysis in the first part, needed to the next four chapters in order to study the neutrosophics: 1.  ...  Weisstein, 1998, the fuzzy logic is "an extension of two-valued logic such that statements need not to be True or False, but may have a degree of truth between 0 and 1"; -the Boolean logic (for n = 1 and  ... 
arXiv:math/0101228v2 fatcat:duvqbcb4vvgcdgxs3apfxe3zua

Document classification in information retrieval system based on neutrosophic sets

Barbary El
2020 Filomat  
We define an innovative algorithm for classifying documents based on Euclidian distance between two neutrosophic sets.  ...  Our experiments show that Neutrosophic Classification Algorithm achieved 95% performance.  ...  The projected NC employs neutrosophic logic for its effective and is an extension of the commonly used fuzzy classifier. B. Kavitha, Dr. S. Karthikeyan and P.  ... 
doi:10.2298/fil2001089b fatcat:dv5vq2v7h5fuppkdrb6nhg56pi

Ensemble Classifiers for Acute Leukemia Classification Using Microarray Gene Expression Data under uncertainty

Mona Gamal, Abdel Nasser H. Zaied, Ehab Rushdy
2022 Zenodo  
Neutrosophic AHP is used to determine the weighting of criteria in this methodology. A neutrosophic TOPSIS and VIKOR model are used to rank alternatives.  ...  Therefore, a Single-Valued Neutrosophic Sets (SVNSs) approach based on AHP, TOPSIS, and VIKOR is designed and implemented in this article.  ...  The neutrosophic sets have the most essential benefit over other fuzzy extensions in this regard.  ... 
doi:10.5281/zenodo.6426382 fatcat:emcuxldt5fhyhhcsif667o2hpq

Implementation of Neutrosophic Function Memberships Using MATLAB Program

S. Broumi, D. Nagarajan, A. Bakali, M. Talea, F. Smarandache, M.Lathamaheswari, J. Kavikumar
2019 Zenodo  
Therefore choosing a MF is an essential task in fuzzy logic and neutrosophic logic as well. Uncertainty is usually represented by MFs.  ...  Membership function (MF) plays a key role for getting an output of a system and hence it influences system's per-formance directly.  ...  MFs plays an important role in fuzzy classifier (FC). In traditional FC, the domain of every input variable is separated into various intervals.  ... 
doi:10.5281/zenodo.3275354 fatcat:gcnzukzhp5hfjj3prrfh7w2iwq
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