Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems

In this paper, a generalized picture fuzzy soft set is proposed, which is an extension of the picture fuzzy soft sets. We investigate the basic properties of picture fuzzy soft sets and define an F-subset, M-subset, extended union, extended intersection, restricted union, restricted intersection and...

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Main Authors: Muhammad Jabir Khan, Poom Kumam, Shahzaib Ashraf, Wiyada Kumam
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/11/3/415
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spelling doaj-eb192ebaa43f4d8e8d40f39db3fe7af82020-11-25T00:55:53ZengMDPI AGSymmetry2073-89942019-03-0111341510.3390/sym11030415sym11030415Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support SystemsMuhammad Jabir Khan0Poom Kumam1Shahzaib Ashraf2Wiyada Kumam3KMUTT Fixed Point Research Laboratory, Room SCL 802 Fixed Point Laboratory, Science Laboratory Building, Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, ThailandKMUTT Fixed Point Research Laboratory, Room SCL 802 Fixed Point Laboratory, Science Laboratory Building, Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, ThailandDepartment of Mathematics, Abdul wali Khan University, Mardan 23200, PakistanProgram in Applied Statistics, Department of Mathematics and Computer Science, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi (RMUTT), Thanyaburi, Pathumthani 12110, ThailandIn this paper, a generalized picture fuzzy soft set is proposed, which is an extension of the picture fuzzy soft sets. We investigate the basic properties of picture fuzzy soft sets and define an F-subset, M-subset, extended union, extended intersection, restricted union, restricted intersection and also prove the De Morgan’s laws for picture fuzzy soft information. We investigate upper and lower substitution for both picture fuzzy sets and generalized picture fuzzy soft sets. Meanwhile, the related proofs are given in detail. Finally, we propose an algorithm to deal with generalized picture fuzzy soft information. To show the supremacy and effectiveness of the proposed technique, we illustrate a descriptive example using generalized picture fuzzy soft information. Results indicate that the proposed technique is more generalized and effective over all the existing structures of fuzzy soft sets.https://www.mdpi.com/2073-8994/11/3/415picture fuzzy setspicture fuzzy soft setspicture fuzzy Dombi weighted average operatorpicture fuzzy weighted averaging operator
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Jabir Khan
Poom Kumam
Shahzaib Ashraf
Wiyada Kumam
spellingShingle Muhammad Jabir Khan
Poom Kumam
Shahzaib Ashraf
Wiyada Kumam
Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems
Symmetry
picture fuzzy sets
picture fuzzy soft sets
picture fuzzy Dombi weighted average operator
picture fuzzy weighted averaging operator
author_facet Muhammad Jabir Khan
Poom Kumam
Shahzaib Ashraf
Wiyada Kumam
author_sort Muhammad Jabir Khan
title Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems
title_short Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems
title_full Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems
title_fullStr Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems
title_full_unstemmed Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems
title_sort generalized picture fuzzy soft sets and their application in decision support systems
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2019-03-01
description In this paper, a generalized picture fuzzy soft set is proposed, which is an extension of the picture fuzzy soft sets. We investigate the basic properties of picture fuzzy soft sets and define an F-subset, M-subset, extended union, extended intersection, restricted union, restricted intersection and also prove the De Morgan’s laws for picture fuzzy soft information. We investigate upper and lower substitution for both picture fuzzy sets and generalized picture fuzzy soft sets. Meanwhile, the related proofs are given in detail. Finally, we propose an algorithm to deal with generalized picture fuzzy soft information. To show the supremacy and effectiveness of the proposed technique, we illustrate a descriptive example using generalized picture fuzzy soft information. Results indicate that the proposed technique is more generalized and effective over all the existing structures of fuzzy soft sets.
topic picture fuzzy sets
picture fuzzy soft sets
picture fuzzy Dombi weighted average operator
picture fuzzy weighted averaging operator
url https://www.mdpi.com/2073-8994/11/3/415
work_keys_str_mv AT muhammadjabirkhan generalizedpicturefuzzysoftsetsandtheirapplicationindecisionsupportsystems
AT poomkumam generalizedpicturefuzzysoftsetsandtheirapplicationindecisionsupportsystems
AT shahzaibashraf generalizedpicturefuzzysoftsetsandtheirapplicationindecisionsupportsystems
AT wiyadakumam generalizedpicturefuzzysoftsetsandtheirapplicationindecisionsupportsystems
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