Results 61 to 70 of about 62,510 (232)

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

Development of Hybrid Model for Donations to Deserving Donees Using Multi-Polar Interval-Valued Neutrosophic Soft Set

open access: yesPunjab University journal of mathematics, 2022
Multicriteria decision-making techniques have been used widely in intelligent decision support systems for many executive decisions. Nongovernment organizations (NGOs), Non-Profitable Organizations (NPOs), and privileged persons employ survey methods to ...
M. Saeed, Sheikh Zain Majid
semanticscholar   +1 more source

An Approach to Similarity Measure between Neutrosophic Soft Sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2019
In this paper, we have defined different types of similarity measures between Neutrosophic Soft (NS) sets and studied some of their properties. Finally we have solve a real life problem by using similarity measure of neutrosophic soft sets.
Kalyan Sinha, Pinaki Majumdar
doaj   +1 more source

Certainty of outlier and boundary points processing in data mining

open access: yes, 2018
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem.
Guo, Yanhui   +3 more
core   +1 more source

A study on neutrosophic soft set and neutrosophic hypersoft set

open access: yesJournal of Fuzzy Extension and Applications
This paper mainly intends to verify whether the basic laws of set theory apply in the Neutrosophic Soft Set (NSS). The laws examined in this paper for NSS include Commutative law, Associative law, Distributive law, Involution law, Idempotent law, and Negation law (law of contradiction and law of excluded middle).
S, Rajeshwari   +2 more
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

Soft Interval-Valued Neutrosophic Rough Sets

open access: yesNeutrosophic Sets and Systems, 2015
In this paper, we first defined soft interval-valued neutrosophic rough sets(SIVN- rough sets for short) which combines interval valued neutrosophic soft set and rough sets and studied some of its basic properties. This concept is an extension of soft interval valued intuitionistic fuzzy rough sets( SIVIF- rough sets).
Said Broumi, Florentin Smarandache
openaire   +2 more sources

n-Valued refined neutrosophic soft set theory [PDF]

open access: yesJournal of Intelligent & Fuzzy Systems, 2016
In this paper as a generalization of neutrosophic soft set we introduce the concept of n-valued refined neutrosophic soft set and study some of its properties. We also, define its basic operations, complement, union intersection, “AND” and “OR” and study their properties.
openaire   +1 more source

A new method of measuring similarity between two neutrosophic soft sets and its application in pattern recognition problems [PDF]

open access: yesNeutrosophic Sets and Systems, 2015
Smarandache in 1995 introduced the concept of neutrosophic set and in 2013 Maji introduced the notion of neutrosophic soft set, which is a hybridization of neutrosophic set and soft set. After its introduction neutrosophic soft sets become most efficient
Anjan Mukherjee, Sadhan Sarkar
doaj  

Delving Into the Depths of the Properties and Behavior of Bipolar Pythagorean Neutrosophic Metric Spaces: A Theoretical Analysis

open access: yesJournal of Mathematics, Volume 2026, Issue 1, 2026.
This paper advances the theory of bipolar Pythagorean neutrosophic fuzzy (BPNF) sets by establishing their formalization within a topological and metric framework, while also demonstrating their role in decision‐making under uncertainty. The main contributions are as follows: (1) definition and characterization of BPNF topological spaces, providing a ...
Akiladevi Natarajan   +5 more
wiley   +1 more source

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