Results 51 to 60 of about 3,841 (227)

Relations On Interval Valued Neutrosophic Soft Sets

open access: yesJournal of New Results in Science, 2014
Anjan Mukherjee introduced the concept of interval valued intuitionstic fuzzy soft relation. In this paper we will extend this concept to the case of interval valued neutrosophic soft relation( IVNSS relation for short) which can be discussed as a generalization of soft relations, fuzzy soft relation, intuitionstic fuzzy soft relation, interval valued ...
Broumi, Said   +2 more
openaire   +3 more sources

An Integrated Maple Package for Algebraic Interval Neutrosophic Matrices [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
In this paper, a maple code is presented to do many operations on interval valued neutrosophic matrices including entering the elements of the matrix, checking whether a given matrix is an interval valued neutrosophic matrix or not, finding complement of
Said Broumi   +2 more
doaj   +1 more source

Ensemble Neural Networks Using Interval Neutrosophic Sets And Bagging [PDF]

open access: greenThird International Conference on Natural Computation (ICNC 2007), 2015
This paper presents an approach to the problem of binary classification using ensemble neural networks based on interval neutrosophic sets and bagging technique. Each component in the ensemble consists of a pair of neural networks trained to predict the degree of truth and false membership values.
Pawalai Kraipeerapun   +2 more
openalex   +3 more sources

Pentagonal Neutrosophic Transportation Problems with Interval Cost [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
The present paper aims to deal with a new variant of uncertain classical transportation problem namely ‘Interval Pentagonal Neutrosophic Transportation Problem’ (IPNTP) in which the uncertainty of source & destination parameters are described by ...
Ummey Habiba, Abdul Quddoos
doaj   +1 more source

Constraint-wish and satisfied-dissatisfied: an overview of two approaches for dealing with bipolar querying [PDF]

open access: yes, 2013
In recent years, there has been an increasing interest in dealing with user preferences in flexible database querying, expressing both positive and negative information in a heterogeneous way.
De Tré, Guy   +3 more
core   +2 more sources

Shortest Path Problem under Interval Valued Neutrosophic Setting

open access: yesInternational Journal of Advanced Trends in Computer Science and Engineering, 2015
This paper presents a study of neutrosophic shortest path with interval valued neutrosophic number on a network. A proposed algorithm also gives the shortest path length using ranking function from source node to destination node. Here each arc length is assigned to interval valued neutrosophic number. Finally, a numerical example has been provided for
Broumi S.   +5 more
openaire   +1 more source

A Geometric Interpretation of the Neutrosophic Set - A Generalization of the Intuitionistic Fuzzy Set

open access: yes, 2011
In this paper we generalize the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Several examples are presented.
Smarandache, Florentin
core   +1 more source

Interval Neutrosophic Sets and Logic: Theory and Applications in Computing [PDF]

open access: yes, 2005
A neutrosophic set is a part of neutrosophy that studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra.
Wang, Haibin
core   +5 more sources

Interval neutrosophic covering rough sets based on neighborhoods

open access: yesAIMS Mathematics, 2021
Covering rough set is a classical generalization of rough set. As covering rough set is a mathematical tool to deal with incomplete and incomplete data, it has been widely used in various fields. The aim of this paper is to extend the covering rough sets to interval neutrosophic sets, which can make multi-attribute decision making problem more ...
Dongsheng Xu, Huaxiang Xian, Xiewen Lu
openaire   +2 more sources

A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition

open access: yes, 2019
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad   +2 more
core   +1 more source

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