Results 41 to 50 of about 253 (150)
Complexity, Volume 2022, Issue 1, 2022., 2022 In this article, we proposed an extended EDAS (Evaluation based on Distance from Average Solution) method based on the single‐valued neutrosophic (SVN) Aczel‐Alsina aggregation information. The fundamental concept of a single‐valued neutrosophic (SVN) set is a universal mathematical tool for effectively managing uncertain and imprecise information.
Shahzaib Ashraf +5 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Before the advent of the new era, my country has completed the popularization of higher education, and the country has gradually begun to pay attention to the quality of higher education. Under the background of Healthy China, the quality of physical education teaching in colleges and universities has become a hot topic of social concern.
Xiaoping Yang, Yefei Liu, Fatih Ecer
wiley +1 more source
Complexity, Volume 2022, Issue 1, 2022., 2022 The neutrosophic cubic hesitant fuzzy set can efficiently handle the complex information in a decision‐making problem because it combines the advantages of the neutrosophic cubic set and the hesitant fuzzy set. The algebraic operations based on Dombi norms and co‐norms are more flexible than the usual algebraic operations as they involve an operational
Ateeq Ur Rehman +6 more
wiley +1 more source
Clustering Methods Using Distance-Based Similarity Measures of Single-Valued Neutrosophic Sets
Journal of Intelligent Systems, 2014 Clustering plays an important role in data mining, pattern recognition, and machine learning. Single-valued neutrosophic sets (SVNSs) are useful means to describe and handle indeterminate and inconsistent information that fuzzy sets and intuitionistic ...
Ye Jun
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Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment [PDF]
Big Data and Computing Visions, 2022 Public-Private Partnership (PPP) refers to a partnership between a government and a private sector to provide public infrastructure projects, services, etc. These projects have been associated with numerous problems, many of which failed.
Seyed Farhad Saberhoseini +2 more
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Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method
Journal of Intelligent Systems, 2014 Clustering plays an important role in data mining, pattern recognition, and machine learning. Then, single-valued neutrosophic sets (SVNSs) are a useful means to describe and handle indeterminate and inconsistent information, which fuzzy sets and ...
Ye Jun
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Linear Diophantine Neutrosophic Sets and Their Properties [PDF]
Neutrosophic Sets and Systems, 2023 In 2019, Riaz et al. introduced the notion of linear Diophantine fuzzy set(LDFS) where there is an addition of reference parameters that help to address the issues that cannot be managed by the existing theories such as fuzzy sets(FSs), intuitionistic ...
Somen Debnath
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An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers [PDF]
Neutrosophic Sets and SystemsUnder the background of big data, the evaluation of college students' satisfaction with online ideological and political education (IAPE) is primarily achieved through data mining and analysis techniques, allowing for a more comprehensive and accurate ...
Kelei Shi
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Some Similarity Measures of Neutrosophic Sets Based on the Euclidean Distance and Their Application in Medical Diagnosis [PDF]
, 2019 Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives.
Zaiming Liu, Guangyan Liu, Donghai Liu
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Neutrosophic Hierarchical Clustering Algoritms [PDF]
Neutrosophic Sets and Systems, 2014 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 valued neutrosophic set (SVNS) is regarded as ...
Rıdvan Şahin
doaj