The picture fuzzy distance measure in controlling network power consumption

In order to solve the complex decision-making problems, there are many approaches and systems based on the fuzzy theory were proposed. In 1998, Smarandache introduced the concept of single-valued neutrosophic set as a complete development of fuzzy theory. In this paper, we research on the distance m...

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Autores principales: Ngan Roan, Salvador Coll, Marina Alonso, Juan Miguel Rubio, Pedro López, Fran Andujar, Son Le, Manh Vu, Florentin Smarandache
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Lenguaje:EN
Publicado: Ayandegan Institute of Higher Education, 2020
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Acceso en línea:https://doaj.org/article/1a4ab9e3039c4cafbd3e29775459cb9f
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spelling oai:doaj.org-article:1a4ab9e3039c4cafbd3e29775459cb9f2021-11-07T10:03:36ZThe picture fuzzy distance measure in controlling network power consumption2783-14422717-345310.22105/jfea.2020.249183.1009https://doaj.org/article/1a4ab9e3039c4cafbd3e29775459cb9f2020-09-01T00:00:00Zhttp://www.journal-fea.com/article_118586_6ec5d2079f35091c7824d39b7d95de3b.pdfhttps://doaj.org/toc/2783-1442https://doaj.org/toc/2717-3453In order to solve the complex decision-making problems, there are many approaches and systems based on the fuzzy theory were proposed. In 1998, Smarandache introduced the concept of single-valued neutrosophic set as a complete development of fuzzy theory. In this paper, we research on the distance measure between single-valued neutrosophic sets based on the H-max measure of Ngan et al. [8]. The proposed measure is also a distance measure between picture fuzzy sets which was introduced by Cuong in 2013 [15]. Based on the proposed measure, an Adaptive Neuro Picture Fuzzy Inference System (ANPFIS) is built and applied to the decision making for the link states in interconnection networks. In experimental evaluation on the real datasets taken from the UPV (Universitat Politècnica de València) university, the performance of the proposed model is better than that of the related fuzzy methods.Ngan RoanSalvador CollMarina AlonsoJuan Miguel RubioPedro LópezFran AndujarSon LeManh VuFlorentin SmarandacheAyandegan Institute of Higher Education,articleneutrosophic setpicture fuzzy setdistance measuredecision makinginterconnection networkpower consumptionMathematicsQA1-939ENJournal of Fuzzy Extension and Applications, Vol 1, Iss 3, Pp 139-158 (2020)
institution DOAJ
collection DOAJ
language EN
topic neutrosophic set
picture fuzzy set
distance measure
decision making
interconnection network
power consumption
Mathematics
QA1-939
spellingShingle neutrosophic set
picture fuzzy set
distance measure
decision making
interconnection network
power consumption
Mathematics
QA1-939
Ngan Roan
Salvador Coll
Marina Alonso
Juan Miguel Rubio
Pedro López
Fran Andujar
Son Le
Manh Vu
Florentin Smarandache
The picture fuzzy distance measure in controlling network power consumption
description In order to solve the complex decision-making problems, there are many approaches and systems based on the fuzzy theory were proposed. In 1998, Smarandache introduced the concept of single-valued neutrosophic set as a complete development of fuzzy theory. In this paper, we research on the distance measure between single-valued neutrosophic sets based on the H-max measure of Ngan et al. [8]. The proposed measure is also a distance measure between picture fuzzy sets which was introduced by Cuong in 2013 [15]. Based on the proposed measure, an Adaptive Neuro Picture Fuzzy Inference System (ANPFIS) is built and applied to the decision making for the link states in interconnection networks. In experimental evaluation on the real datasets taken from the UPV (Universitat Politècnica de València) university, the performance of the proposed model is better than that of the related fuzzy methods.
format article
author Ngan Roan
Salvador Coll
Marina Alonso
Juan Miguel Rubio
Pedro López
Fran Andujar
Son Le
Manh Vu
Florentin Smarandache
author_facet Ngan Roan
Salvador Coll
Marina Alonso
Juan Miguel Rubio
Pedro López
Fran Andujar
Son Le
Manh Vu
Florentin Smarandache
author_sort Ngan Roan
title The picture fuzzy distance measure in controlling network power consumption
title_short The picture fuzzy distance measure in controlling network power consumption
title_full The picture fuzzy distance measure in controlling network power consumption
title_fullStr The picture fuzzy distance measure in controlling network power consumption
title_full_unstemmed The picture fuzzy distance measure in controlling network power consumption
title_sort picture fuzzy distance measure in controlling network power consumption
publisher Ayandegan Institute of Higher Education,
publishDate 2020
url https://doaj.org/article/1a4ab9e3039c4cafbd3e29775459cb9f
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