Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method
نویسندگان
چکیده
منابع مشابه
Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method
Abstract: 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 intuitionistic fuzzy sets cannot describe and deal with. To cluster the data represented by single-value neutrosophic information, the artic...
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Minimum spanning tree finds its huge application in network designing, approximation algorithms for NP-hard problems, clustering problems and many more. Many research works have been done to find minimum spanning tree due to its various applications. But, till date very few research works are available in finding minimum spanning tree in neutrosophic environment. This paper contributes signific...
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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. Neutrosophic set is a powerful general formal framework that has been recently proposed. However, neutrosophic set needs to be specified from a technical point of view. To this effect, we define the settheoretic operators on an i...
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ژورنال
عنوان ژورنال: Journal of Intelligent Systems
سال: 2014
ISSN: 2191-026X,0334-1860
DOI: 10.1515/jisys-2013-0075