Results 101 to 110 of about 1,086 (198)

Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization

, 2018
Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. The neutrosophic set, which is an extension of the fuzzy set, has received extensive attention in solving ...
Florentin Smarandache, Qiaoyan Li, Yingcang Ma, Shuangwu Zhu   +3 more
core   +1 more source

Harmonic Mean Operator Based MADM-Strategy under SVPN-Set Environment [PDF]

Neutrosophic Sets and Systems
By using single-valued pentapartitioned neutrosophic set (briefly SVPN-set), one can express uncertainty events having incomplete, indeterminate, and erroneous information in practical applications.
Bimal Shil, Suman Das, Rakhal Das, Binod Chandra Tripathy   +3 more
doaj   +1 more source

Single Valued Neutrosophic Soft Approach To Rough Sets, Theory And Application

Neutrosophic Sets and Systems, 2018
This paper aims to introduce a single valued neutrosophic soft approach to rough sets based on neutrosophic right minimal structure. Some of its properties are deduced and proved. A comparison between traditional rough model and suggested model, by using their properties is concluded to show that Pawlak’s approach to rough sets can be viewed as a ...
openaire   +3 more sources

Single Valued Neutrosophic Sets

, 2010
Neutrosophic set is a part of neutrosophy which studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra.
Wang, Haibin, Zhang, Yanqing, Sunderraman, Rajshekhar, Smarandache, Florentin   +3 more
core  

Probabilistic Single-Valued (Interval) Neutrosophic Hesitant Fuzzy Set and Its Application in Multi-Attribute Decision Making [PDF]

, 2018
The uncertainty and concurrence of randomness are considered when many practical problems are dealt with. To describe the aleatory uncertainty and imprecision in a neutrosophic environment and prevent the obliteration of more data, the concept of the ...
Xiaohong Zhang, Chunxin Bo, Songtao Shao, Yu Li   +3 more
core   +1 more source

(T, S)-Based Single-Valued Neutrosophic Number Equivalence Matrix and Clustering Method

Mathematics, 2019
Fuzzy clustering is widely used in business, biology, geography, coding for the internet and more. A single-valued neutrosophic set is a generalized fuzzy set, and its clustering algorithm has attracted more and more attention. An equivalence matrix is a
Jiongmei Mo, Han-Liang Huang
doaj   +1 more source

A novel similarity measure for single-valued neutrosophic sets and their applications in medical diagnosis, taxonomy, and clustering analysis

, 2020
As a generation of Atanassov's intuitionistic fuzzy set, the single-valued neutrosophic set is an important modeling approach for expressing and processing the inconsistent and indeterminate information very well.
Şahin, R., Karabacak, M., Mesut Karabacak, Rıdvan Şahin   +3 more
core   +1 more source

Introduction to the Complex Refined Neutrosophic Set [PDF]

, 2017
In this paper, one extends the single-valued complex neutrosophic set to the subsetvalued complex neutrosophic set, and afterwards to the subset-valued complex refined neutrosophic ...
Smarandache, Florentin
core   +1 more source

TOPSIS for Single Valued Neutrosophic Soft Expert Set Based Multi-attribute Decision Making Problems [PDF]

, 2015
In the paper, we propose Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique for solving single valued neutrosophic soft set expert based multi-attribute decision making problems.
Surapati Pramanik, Partha Pratim Dey, Bibhas C. Giri   +2 more
core  

A Study on Single Valued Neutrosophic Graphs: Dominance

, 2019
To create the single valued neutrosophic graph G=(A,B), we take a crisp graph G=(V,E) and replace its vertex and edge sets with single valued neutrosophic sets.
Mahadevaswamy B.S.
core   +1 more source